JP7626306B2 - Determination system, determination method, and determination program - Google Patents

Description

The present invention relates to a judgment system, a judgment method, and a judgment program.

In recent years, efforts have been made to mix food waste into feed for fish, pigs, and other animals as a substitute for feed that has traditionally been used.
In particular, fishmeal is used as a raw material for fish feed, but there are concerns about a shortage of fishmeal due to adjustments in catch volumes to protect natural fish resources and rising demand for fishmeal due to an increase in the amount of fish farmed, and this has led to an increase in demand for alternative feed.

In response to this problem, attempts have been made to use algae. It is known that different types of algae contain different main components. For this reason, the production of food products using multiple types of algae has been considered, and in fact, it has been reported that space food was produced by combining multiple types of algae that contain different nutritional components (see, for example, Non-Patent Document 1).
In addition, many algae can fix carbon dioxide from the atmosphere through photosynthesis. For these reasons, algae have great utility, and efforts are being made to utilize them widely.

As a method for using algae as an alternative feed, for example, a method has been proposed in which algae are cultivated under specific culture conditions to produce algae having an amino acid composition similar to that of fish meal, and this algae is used to produce feed in place of the fish meal that has been used in conventional feed (see, for example, Patent Document 1).
As another method, for example, a method for producing feed in which synthetic chemical additives used in salmon feed are replaced with seaweed has been proposed (see, for example, Patent Document 2).

Euglena Co., Ltd., "Participating in the "Space Food X" initiative launched by JAXA and others, we will work to develop new food resources in space using mass cultivation technology of microalgae," [online], published on March 27, 2019, Internet <URL: https://www.euglena.jp/news/20190327-2/>

JP 2017-205045 A JP 2012-533285 A

The present invention aims to provide an assessment system, assessment method, and assessment program for determining whether or not a substance under consideration can be used as an alternative for practical feed itself or as a compounding ingredient thereof.

As a result of intensive research by the inventors to achieve the above-mentioned objective, they have discovered that it is possible to provide a system, method, and program for determining whether an object under consideration can be used as an alternative feed, which receives specific information about the object under consideration, compares the specific information about the object under consideration with specific information about practical feed, and determines whether or not the object under consideration can be used as an alternative feed as the practical feed itself or as an ingredient thereof by determining whether or not the object under consideration can be used as an alternative feed.

The present invention is based on the findings of the present inventors, and the means for solving the above problems are as follows.
<1> A determination system for determining whether an object under consideration can be used as an alternative feed,
Accepting specific information of the object of consideration;
The specific information of the subject to be examined is compared with the specific information of practical feed,
A determination means for determining the presence or absence of at least one of the practical feed and the blending components in the practical feed that can be substituted for the subject to be examined,
The present invention relates to a determination system.
<2> A method for determining whether an object under consideration can be used as an alternative feed, comprising:
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
A determination step of determining the presence or absence of at least one of the practical feed and the blending components in the practical feed that can be substituted for the subject to be examined,
The present invention is a method for determining whether a
<3> A determination program for determining whether an object under consideration can be used as an alternative feed,
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
determining whether or not there is at least one of the practical feed and the blending components in the practical feed that can be substituted for the subject to be examined;
The present invention is a determination program that causes a computer to carry out the process.

The present invention can solve the above-mentioned problems in the past and achieve the above-mentioned objective, and can provide an assessment system, an assessment method, and an assessment program for determining whether or not a substance under consideration can be used as an alternative to practical feed itself or as a compounding component thereof.

FIG. 1 is a block diagram showing an example of the configuration of a determination system according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating an example of a hardware configuration of the determination system. FIG. 3 is a diagram illustrating an example of a functional configuration of the determination system. FIG. 4A is a diagram showing an example of the consideration object DB. FIG. 4B is a diagram showing an example of the practical feed DB. FIG. 4C is a diagram illustrating an example of the determination result DB. FIG. 5 is a block diagram illustrating an example of a hardware configuration of a terminal device. FIG. 6 is a block diagram illustrating an example of a functional configuration of a terminal device. FIG. 7 is a flowchart illustrating an example of a processing procedure in the determination system. FIG. 8 is a diagram illustrating another example of the functional configuration of the determination system. FIG. 9A is a diagram illustrating an example of the state information DB. FIG. 9B is a diagram illustrating an example of state information data stored in the state information DB. FIG. 9C is a diagram showing another example of state information data stored in the state information DB. FIG. 9D is a diagram showing another example of state information data stored in the state information DB. FIG. 9E is a diagram showing another example of state information data stored in the state information DB. FIG. 9F is a diagram showing another example of state information data stored in the state information DB. FIG. 9G is a diagram showing another example of state information data stored in the state information DB. FIG. 10 is a diagram showing an example of the comparative evaluation result data stored in the comparative evaluation result DB. FIG. 11 is a flowchart illustrating another example of the processing procedure in the determination system.

(Assessment system, assessment method, and assessment program)
The determination system of the present invention comprises:
A determination system for determining whether an object under consideration can be used as an alternative feed, comprising:
Accepting specific information of the object of consideration;
The received specific information of the subject of consideration is collated with specific information of practical feed,
The feed composition further includes a determination means for determining the presence or absence of at least one of the practical feed and the blended components therein that are replaceable with the substance under consideration, and further includes other means as necessary.
The determination method of the present invention comprises the steps of:
A method for determining whether an object of consideration can be used as an alternative feed, comprising:
Accepting specific information of the object of consideration;
The received specific information of the subject of consideration is collated with specific information of practical feed,
The method includes a determination step of determining the presence or absence of at least one of the practical feed and the blended components in the practical feed that are replaceable with the substance under consideration, and further includes other steps as necessary.
The determination program of the present invention comprises:
A determination program for determining whether an object under consideration can be used as an alternative feed,
Accepting specific information of the object of consideration;
The received specific information of the subject of consideration is collated with specific information of practical feed,
The computer is caused to perform a process of determining whether or not at least one of the practical feed and the blended components therein is replaceable with the subject of consideration, and further, the computer is caused to perform other processes as necessary.

The determination method of the present invention can be suitably carried out by a determination system relating to the determination method of the present invention, the determination step can be suitably carried out by a determination means, and the other steps can be suitably carried out by other means.

Since the control performed by the control unit in the determination system of the present invention is equivalent to carrying out the determination method of the present invention, the details of the determination method of the present invention will be clarified through the description of the determination system of the present invention. Also, since the determination program of the present invention is realized as the determination system of the present invention by using a computer or the like as a hardware resource, the details of the determination program of the present invention will be clarified through the description of the determination system of the present invention.
In addition, each of the means in the determination system of the present invention may be integrated or may be separate (separate from each other). When each of the means is separate, it is preferable to connect each of these means using a network such as an intranet or the Internet.

The conventional technology had a problem in that it was not possible to consider whether a substance (substance under consideration) to be used as an alternative feed can replace at least one of feed that is actually used (practical feed) and compounded ingredients (compound raw materials) that make up the practical feed.
The inventors have therefore discovered that it is possible to provide a system that determines whether or not the object under consideration can potentially be used as an alternative to practical feed by comparing specific information, such as the constituent components of the object under consideration, with specific information of at least any of practical feed and the compounding components of practical feed.

<Determination means and determination process>
The determination means receives specific information of the object to be considered,
The received specific information of the subject of consideration is collated with specific information of practical feed,
The present invention is a means for determining the presence or absence of at least one of the practical feed and the blended components in the practical feed that are replaceable with the subject of investigation.
The determination step includes receiving specific information of the object to be examined,
The received specific information of the subject of consideration is collated with specific information of practical feed,
This is a step of determining whether or not there is at least one of the practical feed and the blended components in the practical feed that can be substituted for the substance under consideration.
The determining step can be suitably carried out by the determining means.
The determination means is not particularly limited as long as it can realize the above functions, and can be appropriately selected according to the purpose, and can be realized, for example, by using a processing device (CPU, etc.) and a storage device of a known computer, server device, mobile terminal, etc. In addition, the determination means may be a part of the function realized by a processing device (CPU, etc.) in a mobile terminal (tablet terminal, smartphone, etc.) owned by a user who uses the present invention.

-Subject of consideration-
The subject of consideration is an object to be considered for use as a substitute for at least one of the practical feed and the ingredients of the practical feed described below, and is not particularly limited as long as it is edible by a living organism, and can be appropriately selected depending on the purpose. Examples of the object of consideration include at least parts of plants, animals, bacteria, fungi, and protozoans, and waste generated in food processing plants, etc.

The organism is not particularly limited and can be appropriately selected depending on the purpose. Examples of the organism include terrestrial organisms, aquatic organisms, and amphibians.
Examples of the terrestrial organisms include terrestrial mammals, reptiles, birds, insects, etc. More specifically, examples of the terrestrial organisms include livestock and pet animals.
Examples of the aquatic organisms include fish, aquatic mammals, and shellfish.
The amphibian organisms include, for example, amphibians.

The plant body is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include grass, grains, vegetables, fermented products thereof, etc. These may be used alone or in combination of two or more kinds.
The grass is not particularly limited and can be appropriately selected depending on the purpose. For example, grasses used in known feeds can be mentioned.
The grains are not particularly limited and can be appropriately selected depending on the purpose. For example, grains used in known feeds can be mentioned.
The vegetables are not particularly limited and can be appropriately selected depending on the purpose.
These may be used alone or in combination of two or more.
The part of the plant body is not particularly limited and can be appropriately selected depending on the purpose. Examples of the part of the plant body include the stem of a vegetable, a vegetable seed, and the outer leaves and core of a vegetable.

The animal body is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include mammals (e.g., cows, pigs), birds (e.g., chickens), fish (e.g., sardines, pacific saury, herring), insects (e.g., horsefly larvae, mealworms, crickets, house flies), fermented products thereof, etc. These may be used alone or in combination of two or more.
The part of the animal body is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include meat powder, meat and bone powder, etc.

The bacteria are not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include algae of the phylum Cyanobacteria, Escherichia coli, lactic acid bacteria, Bacillus subtilis, methane-utilizing bacteria, fermented products thereof, etc. These may be used alone or in combination of two or more kinds.
The part of the bacteria is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include extracts.
The fungi are not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include yeast, mushrooms (e.g., shiitake mushroom, shimeji mushroom), fermented products thereof, etc. These may be used alone or in combination of two or more kinds.
The part of the fungi is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include extracts.
The protists are not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include eukaryotic algae (e.g., algae of the phylum Chlorophyta, algae of the phylum Rhodophyta, algae of the phylum Glaucophyta, algae of the phylum Heterokontophyta, algae of the phylum Dinophyta, algae of the phylum Chlorarachniophyta, algae of the phylum Haptophyta, algae of the phylum Cryptophyta, and algae of the phylum Euglenophyta), fermented products thereof, etc. These may be used alone or in combination of two or more kinds.
The part of the protozoan is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include an extract.

The waste generated in the food processing plants and the like is not particularly limited and can be appropriately selected depending on the purpose. Examples include soybean oil cake, concentrated soy protein (soybeans that have been defatted and have had sugars, isoflavones, etc. removed), corn gluten meal, corn distillers' cake, rapeseed oil cake, sake cake, rice bran, fermented alcohol residues, food residues, vegetable scraps, fruit scraps, fish bones, and fermented products thereof. These may be used alone or in combination of two or more.

As the subject of the study, algae are particularly preferred, since the components differ depending on the species of algae, and a feed containing desired nutritional components can be prepared by combining the algae.
In addition, it is preferable to use a plurality of study objects for one type of practical feed to determine the possibility of alternative use. For example, when two types of study objects are used, one of the two study objects is combined with the other study object to determine the possibility of alternative use, thereby determining whether or not the components of the practical feed that cannot be fully supplemented by one study object can be supplemented by the other study object.

-Specific information of the subject of the study-
The specific information of the object to be examined is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include the name of the object to be examined, the name of the part, the constituent components, the constituent component ratio (%), etc. These may be used alone or in combination of two or more. Among these, it is preferable that at least one of the specific information of the object to be examined is the constituent component ratio (%), since it is possible to more accurately compare it with the constituent components of the practical feed.
When the identifying information of the object under consideration is the name of the object under consideration, information on the constituent components of the object under consideration can be obtained by referring to a database of publicly known constituent components of the object under consideration (for example, a Food Ingredient Database (Ministry of Education, Culture, Sports, Science and Technology, [online], <URL: https://fooddb.mext.go.jp/index.pl>)) or a network, and the identifying information of the object under consideration can be collated (contrasted) with the identifying information of the practical feed described below, to determine whether the object under consideration can be used as an alternative feed to the practical feed.

The part name is not particularly limited and can be selected appropriately depending on the purpose. For example, it means the name of a part of the object under consideration. Specific examples include the stem or seed of a vegetable, or the head of a fish.

The constituent components are not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include proteins, lipids, carbohydrates, other components, etc. Examples of the other components include nucleic acids, vitamins, minerals, pigments, etc.
The component ratio (%) is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include the component ratio (%) relative to the total amount of the object to be examined, the component ratio (%) relative to a unit amount of the object to be examined, etc. The state of the object to be examined used for the component ratio (%) is not particularly limited and may be either raw or dried.
When a portion of the object to be examined is used, the component ratio (%) refers to the ratio of the component contained in the portion to be examined.

For the protein, for example, the types of amino acids constituting the protein may be displayed.
Examples of the lipid include essential fatty acids (for example, linoleic acid (LNA), n-3 highly unsaturated fatty acid (n-3HUPA), linoleic acid (LA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA)).
Examples of the carbohydrates include dietary fiber, monosaccharides, oligosaccharides, and polysaccharides.
The vitamins include, for example, water-soluble and fat-soluble vitamins.
Examples of the minerals include calcium, phosphorus, potassium, and magnesium.
Examples of the pigment include carotenoids.
It is preferable that these components are further classified into smaller categories. By classifying the composition or the constituent components into smaller categories, a more detailed comparison with practical feed may be possible.

- Practical feed -
The practical feed is not particularly limited as long as it is used as feed for pet animals (for example, fish, dogs, cats, birds, etc.), livestock, farmed fish, etc., and can be appropriately selected depending on the purpose.
The practical feed may be one consisting of a single compounding component (raw material), or may be a mixed feed consisting of two or more compounding components. Specifically, the practical feed consisting of a single compounding component may be, for example, fish meal itself, and the mixed feed consisting of two or more compounding components may be, for example, a mixed feed consisting of fish meal, krill meal, shrimp meal, squid meal, etc.

- Specific information on practical feed -
The specific information of the practical feed is not particularly limited as long as it has the same items as the specific information of the subject of study, and has information on at least any of the constituent components of the practical feed and the blended ingredients (blended raw materials) in the practical feed, and the constituent ratios (%), and can be appropriately selected depending on the purpose.
Examples of the constituent components include crude protein, crude fat, calcium, phosphorus, crude fiber, crude ash, etc., based on the nutritional content and other information in the standards for labeling feed quality established by the Minister of Agriculture, Forestry and Fisheries under the provisions of Article 32, Paragraph 1 of the Law Concerning Assurance of Safety and Improvement of Feed Quality. In addition, other components include proteins, lipids, carbohydrates, and other components that are calculated as converted values by at least one of known analytical methods and estimation methods.
In the present invention, when crude protein, crude fat, calcium, phosphorus, crude fiber, and crude ash are used as the specific information of practical feed based on the nutritional content and other information in the standard for labeling the quality of feed established by the Minister of Agriculture, Forestry and Fisheries pursuant to the provisions of Article 32, Paragraph 1 of the Law Concerning Assurance of Safety and Improvement of Quality of Feed, "protein" in the specific information of the subject of study corresponds to "crude protein,""lipid" to "crude fat," and "carbohydrate" to "crude fiber," and the specific information of the subject of study is compared with the specific information of at least one of the practical feed and the blended ingredients in the practical feed. For items other than "protein,""lipid," and "carbohydrate" as the specific information of the subject of study, the user may appropriately select specific information corresponding to the practical feed, and it is not necessary to use all of the items, and they may be appropriately selected according to the purpose.

As specific information of at least one of the practical feed and the blending components in the practical feed, as long as at least one of (A) the crude protein (protein) content and (B) the crude fat (lipid) content is clear, not all of the components may be known. In such a case, it is preferable to substitute (complement) the unknown specific information for the practical feed for which specific information other than at least one of (A) and (B) is unknown, by using another practical feed that has a similar component ratio (%) and type and a known component ratio (%) other than at least one of (A) and (B). In this way, even when specific information on the practical feed is limited, the substitutive usability with the subject of study can be examined.
In addition, the term "similar in type to the practical feed" means, for example, that the practical feed belongs to the same taxonomic genus, etc. More specifically, for example, in the case of mandarin orange peel, examples include sudachi peel and hassaku peel, which belong to the same taxonomic genus as the practical feed.
Furthermore, the specific information of the practical feed is not limited to that stored in the server device of the administrator of the system of the present invention, and data stored in an external server device may be used.
Examples of specific information on practical feed include a mixed feed database for cattle (Japan Scientific Feeds Association, [online], <URL: http://kashikyo.lin.gr.jp/database/jigyo.htm>).

The method of receiving the specific information of the object of study is not particularly limited and can be selected appropriately depending on the purpose. For example, there is a method of inputting the specific information of the object of study from a terminal device and receiving the specific information via at least one of wired and wireless communication.
The terminal device is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include a smartphone, a tablet, a notebook computer, etc. In the present invention, a terminal owned by a user (sometimes referred to as a user) who uses the present invention can be used as an example of a means for receiving specific information of an object to be considered, and the specific information acquired by the judgment means in the judgment system of the present invention can be appropriately acquired by the terminal owned by the user.

In the determination means, "collating the specific information of the object under consideration with the specific information of the practical feed and determining whether or not there is at least one of the practical feed and the compounding ingredients in the practical feed that can be substituted for the object under consideration" means collating (contrasting) the received specific information of the object under consideration with the specific information of the practical feed and determining whether the object under consideration can be substituted for some or all of the components of the practical feed, or whether or not it can be substituted for some or all of the compounding ingredients in the practical feed.

This will be explained in more detail. First, (A1) "Determination of the presence or absence of practical feed that can be substituted for the subject under consideration" will be explained. For example, when "protein" and "lipid" are used as the specific information of the subject under consideration A, the specific information of the subject under consideration A is compared with the items "crude protein" and "crude fat" of the specific information of the practical feed in the practical feed database, and it is determined whether or not there is a practical feed in which the specific information of the subject under consideration A corresponds to the specific information of the practical feed and the difference between the component ratio (%) of the subject under consideration A and the component ratio (%) of the practical feed is equal to or less than a predetermined value.
In this case, "corresponding" means that one item is related to another item, and in this explanation, it means that there is a corresponding relationship between "protein" in the subject of study and "crude protein" in practical feed, and between "lipid" in the subject of study and "crude fat" in practical feed.
The predetermined value is not particularly limited and can be appropriately changed depending on the degree of identity between the subject of study and the practical feed that the user desires. The smaller the predetermined value, the closer the composition of the subject of study and the practical feed are.
If, as a result of comparing the specific information of the object A under consideration with the specific information of the practical feed, a practical feed 1 is identified in which the specific information of the object A under consideration corresponds to the specific information of the practical feed, and the difference between the constituent percentages (%) of the object A under consideration and the constituent percentages (%) of the practical feed is less than a predetermined value, the "crude protein" and "crude fat" in practical feed 1 contain components that can replace the object A under consideration, and therefore the judgment means judges that "there are components of practical feed 1 that can be replaced by the object A under consideration."

Next, (A2) "Determination of the presence or absence of compounding components in practical feed that can be substituted for the subject under consideration" will be described. For example, when "protein" and "lipid" are used as the specific information of subject under consideration B, first, as in the case of (A1), the specific information of subject under consideration B is compared with the items "crude protein" and "crude fat" of the specific information of the practical feed in the practical feed database, and a comparison is made as to whether or not there is a practical feed that can be substituted for subject under consideration B.
If there is no constituent component of practical feed that can be substituted for object B, the items of "crude protein" and "crude fat" for the blended components (raw materials) that make up the practical feed are compared with the specific information of object B. This makes it possible to determine whether or not there is a blended component of practical feed where the specific information of object B corresponds to the specific information of the blended components of the practical feed, and where the difference between the constituent proportions (%) of object B and the blended components of the practical feed is equal to or less than a predetermined value.
If, as a result of comparing the specific information of the object B under consideration with the specific information of the compounding components of the practical feed, it is found that the specific information of the object B under consideration corresponds to the specific information of the compounding components of the practical feed, and a compounding component 2a of practical feed 2 is identified in which the difference between the constituent component proportions (%) of the object B under consideration and the constituent component proportions (%) of the compounding components of the practical feed is less than a predetermined value, then the object B under consideration is able to replace the "crude protein" and "crude fat" in the compounding component 2a of the practical feed 2, and therefore the judgment means judges that "there is a compounding component 2a of practical feed 2 that can be replaced with the object B under consideration."
In this way, the determination system of the present invention can determine whether or not the substance under consideration can be used as a substitute for practical feed and as a blending component in practical feed.

In addition, the judgment means preferably compares the component proportion (%) of the object under consideration with the component proportion (%) of at least one of the practical feed and the compounded components in the practical feed, and judges whether or not at least one of the practical feed and the compounded components in the practical feed is replaceable with the object under consideration based on the degree of similarity.
Here, the degree of approximation means a value obtained by calculating the total sum of the absolute values of the differences between the constituent proportions (%) of corresponding components in the subject of study, which have a constituent proportion (%) of 30% or more, and those in at least one of the practical feed and the blended components in the practical feed, which have a constituent proportion (%) of 30% or more.
For example, (B1) consider the case where the components with a component ratio (%) of 30% or more in the subject C are "protein (48%)" and "lipid (40%)", and the components with a component ratio (%) of 30% or more in the practical feed 3 are "crude protein (40%)" and "crude fat (35%)". In this case, the absolute values of the difference between the component ratios (%) of corresponding components in the subject C and the practical feed 3 are "8" for "protein - crude protein" and "5" for "lipid - crude fat", and the degree of approximation is "13".
Also, for example, (B2) consider the case where the components in the object D with a component ratio (%) of 30% or more are "protein (30%)" and "lipid (50%)", and the components in the practical feed 4 with a component ratio (%) of 30% or more are "crude protein (50%)" and "crude fat (35%)". In this case, the absolute values of the difference between the component ratios (%) of the corresponding components in the object D and the practical feed 4 are "20" for "protein - crude protein" and "15" for "lipid - crude fat", and the degree of approximation is "35".
Also, for example, (B3) if the components in the object E having a component proportion (%) of 30% or more are "protein (48%)" and "lipid (40%)," and the components in the practical feed 5 having a component proportion (%) of 30% or more are "crude protein (30%),""crude fat (30%)," and "crude ash (30%)," then the components having a component proportion (%) of 30% or more do not correspond, and therefore the degree of similarity between the object E and the practical feed 5 is not calculated.
In the case of "compound components in the practical feed", similarly to the case of "practical feed", the degree of similarity is calculated by comparing "components whose component ratio (%) in the subject of study is 30% or more" with the component ratio (%) of "compound components in the practical feed".

In addition, when the constituent ratios (%) of the object under consideration and at least one of the practical feed and the compounding components in the practical feed are ranked by the magnitude of their values, it is preferable that the rankings of the constituents of the object under consideration and at least one of the practical feed and the compounding components in the practical feed correspond to each other. In this way, when the object under consideration is used as an alternative feed, it is possible to prevent the presence of a constituent that exceeds the constituent ratio (%) of the practical feed. In this case, it is not necessary for all the constituents to correspond, and it is preferable that at least the constituents whose constituent ratio (%) in the object under consideration is 30% or more correspond to the constituents whose constituent ratio (%) in the practical feed and at least one of the compounding components in the practical feed is 30% or more.

In addition, it is preferable that the determination means determines that at least one of the practical feed and a compounding component in the practical feed is substitutable for the object under consideration when the degree of similarity is equal to or less than a predetermined threshold value.
For example, if the specified threshold is "30", when the degree of similarity is "13" as exemplified in (B1) above, since it is below the specified threshold, it is determined that the subject C is substitutable for the practical feed 3.
Furthermore, for example, when the predetermined threshold value is "30", and the degree of similarity is "35" as exemplified in (B2) above, since the value exceeds the predetermined threshold value, it is determined that the subject D is not substitutable for the practical feed 4, and a determination is made as to whether it is substitutable for other practical feeds and blended components in the practical feed.
The predetermined threshold is not particularly limited and can be appropriately selected according to the purpose. For example, the predetermined threshold is preferably 30 or less, more preferably 25 or less, and even more preferably 15 or less. When the predetermined threshold is 30 or less, the difference between the subject of study and at least one of the practical feed and the blended components in the practical feed is small, so that at least one of the practical feed and the blended components in the practical feed can be replaced with the subject of study, and problems such as malnutrition in livestock can be suppressed when used.

<Other Means and Other Steps>
The other means are not particularly limited and can be appropriately selected depending on the purpose. Examples of the other means include a result presentation means and a comparative evaluation means.

<<Result presentation means>>
The result presentation means is a means for presenting the result of the judgment made by the judgment means. The result presentation means is not particularly limited and can be appropriately selected depending on the purpose. For example, The output device is not particularly limited and can be appropriately selected depending on the purpose. For example, the output device may be a known computer, a server device, a mobile terminal, etc. This can be realized using an output device such as the above.
The method of presenting the result of the determination by the determination means is not particularly limited and can be appropriately selected depending on the purpose. For example, a method of displaying the result on a website or application on the Internet, Examples of methods include sending the specific information to the user who provided it by email or mail.

<<Comparative evaluation method>>
The comparative evaluation means is a means for comparing and evaluating, by the judgment means, the condition information of organism A, which was raised using the alternative feed that can be substituted for the object under consideration, with the condition information of organism B, which was raised without using the alternative feed.
The comparative evaluation means is not particularly limited as long as it can realize the above functions, and can be appropriately selected according to the purpose, and can be realized, for example, by using a processing device (CPU, etc.) and a storage device of a known computer, server device, mobile terminal, etc. In addition, the comparative evaluation means may be a part of the function realized by a processing device (CPU, etc.) in a mobile terminal (tablet terminal, smartphone, etc.) owned by a user who uses the present invention.

Here, the process performed by the comparison evaluation means will be described in more detail.
First, the comparative evaluation means acquires state information of the organism A after the start of breeding the organism A using the alternative feed.
Here, "after the start of breeding" refers to the period from immediately after breeding begins until the time when the status information is acquired.
The comparative evaluation means acquires status information of the organism, and compares and evaluates whether the status (quality) of the organism A is good or bad based on the acquired status information.
Here, "good condition (quality)" of an organism means good taste, aroma, texture, color, and luster.
Furthermore, the "poor condition (quality)" of an organism means that it has poor taste, aroma, texture, color, or luster.

A user (hereinafter, sometimes referred to as a user) using the determination system of the present invention obtains status information of an organism (hereinafter, referred to as organism A) raised using an alternative feed determined using the determination system of the present invention. The status information obtained by the user is compared and evaluated by the comparative evaluation means with status information of an organism (hereinafter, referred to as organism B) raised without using the alternative feed, thereby making it possible to evaluate the effect of using the alternative feed on the organism. This makes it possible to obtain information on the advantages (merits) and disadvantages (demerits) of changing the subject of consideration to the alternative feed. If such information can be obtained, for example, it is possible to provide information on the effects of using alternative feed in the aquaculture and livestock industries. In addition, producers and the like can consider implementing alternative feed for other organisms in the hope of seeing the effects of using alternative feed.

The organism A is the same as the organism described in the subject of investigation.
The organism B is not particularly limited and can be appropriately selected depending on the purpose, but is preferably the same organism as the organism A. When the organism B is the same organism as the organism A, the effects of using the alternative feed can be simply compared.

The status information for organism B may be prepared by the user, or may use information from another user who uses the determination system of the present invention, or may be prepared by the owner of the determination system of the present invention, but it is preferable for the user to prepare it. By the user preparing the data for organism B, a comparative evaluation can be made when comparing with organism A under the same conditions for factors other than the alternative feed (e.g., rearing period, rearing temperature, rearing population (individual population) density, etc.). In this way, the effects of using alternative feed can be compared more simply, and highly accurate information can be obtained.

The state information of the organism A and the organism B is not particularly limited as long as it is information indicating the state of the organism A and the organism B, and can be appropriately selected depending on the purpose.
Examples of the state information include rearing (growth) environment information of the organisms A and B, information on the organisms A and B, and rearer (breeder) information.

The rearing (growth) environment information of the organisms A and B (hereinafter, sometimes simply referred to as "rearing environment information") is not particularly limited as long as it is information on the rearing environment of the organisms A and B, and can be appropriately selected depending on the purpose. For example, rearing facility information (indoor or outdoor), rearing density (kg/ ^m3 ), rearing environment temperature (°C), rearing environment humidity (%), dissolved oxygen concentration (mg/L), etc. may be mentioned.
The method for acquiring the rearing environment information is not particularly limited and can be appropriately selected depending on the purpose.
The breeding facility information can be obtained, for example, by having a user of the determination system of the present invention input information such as the species of organism being kept, whether the breeding facility is indoors or outdoors, the size of the breeding facility, and the breeding area.
The method for obtaining the rearing density (kg/m ³ ) is not particularly limited and can be appropriately selected depending on the purpose. For example, it can be calculated using the average value of actual weight measurement results, the number of rearing animals, and the volume of the rearing environment.
The method for acquiring the rearing environment temperature (° C.) is not particularly limited and can be appropriately selected depending on the purpose. Examples of the method include a thermometer and a temperature sensor.
The method for acquiring the rearing environment humidity (%) is not particularly limited and can be appropriately selected depending on the purpose. Examples of the method include a hygrometer and a humidity sensor.
The dissolved oxygen concentration (mg/L) can be obtained, for example, by using a DO sensor.

The information on the organisms A and B is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include rearing period (days), size (body length (length (cm), thickness (cm), width (cm), etc.)), body color, weight (g), weight gain rate (%), feed intake (g), feces amount (g), mortality rate (%), nutritional component ratio (%) (crude protein, crude fat, calcium, phosphorus, crude fiber, crude ash, etc.), color of fillets, odor (flavor), texture, etc. Statistics such as average values for each rearing system (i.e., fish cage) are obtained and used as information.
The method for acquiring information on the size of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, there is a method for acquiring an image with a camera and measuring it.
The method for acquiring information on the body color of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, there is a method for acquiring an image with a camera and measuring the color.
The color is not particularly limited and can be appropriately selected depending on the purpose, and examples thereof include color information represented by the RGB color system, the XYZ color system (xyY color system), the L ^* u ^* v ^* color space, the L ^* a ^* b ^* color space, the Munsell color system, etc. These may be used alone or in combination of two or more.
The image information acquisition conditions are not particularly limited as long as they provide stable results for the same color, and can be appropriately selected according to the purpose. For example, it is preferable to perform the measurement under illumination conditions using only LED illumination having a spectral distribution similar to D50 (daylight, CIE standard light source). Under the illumination conditions, color information with little noise can be obtained under the same conditions.
The method for obtaining information on the weight (g) of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, a method for measuring the weight of a sampled organism can be used.
The information on the organism's weight gain rate (%) can be calculated from the information on the weight (g).
The method for obtaining information on the feed intake (g) of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, the amount of feed given may be regarded as the intake amount.
The method for obtaining information on the amount of feces (g) of the organism is not particularly limited and can be selected appropriately depending on the purpose. For example, a method in which solid matter is removed from the drain at the end of the test, dried, and then weighed may be included.
The method for obtaining information on the mortality rate (%) of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, a method of calculation from the actual number of dead organisms can be mentioned.
The method for obtaining information on the nutritional component ratios (%) of the organism (crude protein, crude fat, calcium, phosphorus, crude fiber, crude ash, etc.) is not particularly limited and can be appropriately selected depending on the purpose. For example, methods for measuring protein include the nitrogen quantitative conversion method and direct protein measurement, for lipids, the ether extraction method and acid decomposition method, for calcium, atomic absorption spectrometry, for phosphorus, vanadomolybdic acid absorptiometry, for crude fiber, filtration method, and for crude ash, direct ashing method.
The method for acquiring color information of the fillet of the organism is not particularly limited and may be appropriately selected depending on the purpose. For example, a method for acquiring an image with a camera may be mentioned.
The method for acquiring information on the smell (flavor) of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, a method using gas chromatography can be mentioned.
The method for acquiring information on the texture of the organism is not particularly limited and can be appropriately selected depending on the purpose. For example, a method using a texture analyzer can be mentioned.

The breeder (raiser) information is not particularly limited and can be appropriately selected depending on the purpose. Examples include the breeder's name, address, and information on the livestock (type, number, age, etc.).
The breeder information can be obtained, for example, by having a user who uses the determination system of the present invention input information.

It is preferable that the comparative evaluation means uses machine learning to learn information about the state of organisms in good and poor quality states for each type of organism.

As the machine learning, for example, it is preferable to perform machine learning on (1) the state of an organism at any time point for which the organism is judged to have good quality when harvested, and (2) the state of an organism at any time point for which the organism is judged to have poor quality when harvested, to obtain a machine learning model that can estimate the state of the organism from state information of the organism at any time point.
When the comparative evaluation means is a model that machine-learns the state information of the organism in "good quality state" and "poor quality state" for each type of organism, the impact of using the alternative feed on the organism can be evaluated. This makes it possible to obtain information on the advantages and disadvantages of changing the subject of consideration to the alternative feed. In addition, by obtaining state information of the organism during the rearing period, the state of the organism (organism A) at the time of harvest can be estimated, providing an opportunity to reconsider the rearing policy, etc.
The machine learning method is not particularly limited and can be appropriately selected depending on the purpose. Examples of the method include a method using a neural network, a method using genetic programming, and a method using a support vector machine (SVM).
Using the obtained machine learning model (trained model), the estimated state information of the organism (organism A) is comparatively evaluated. In addition, it is preferable that the state information of the organism thus comparatively evaluated is recorded in a comparative evaluation result database of organisms, which will be described later.
An example of the comparative evaluation means having the machine learning model (trained model) is a visual analyzer (Visual Analyzer IRISVA400, manufactured by Alpha Moss Japan).

In the trained model of the comparative evaluation unit, the relationship between the status information of the organism (organism A) and the quality of the organism is, for example, a relationship in which an organism with known quality is linked to the status information of that organism. In other words, in the comparative evaluation unit, the quality of the organism is linked to the status information.

The determination program of the present invention can be created using various programming languages depending on the configuration of the computer used and the type and version of the operating system.

The judgment program of the present invention may be recorded on a recording medium such as a hard disk, or may be recorded on a recording medium such as a CD-ROM (Compact Disc-Read Only Memory), a DVD-ROM (Digital Versatile Disc-ROM), an MO (Magneto-Optical) disk, or a USB (Universal Serial Bus) memory.
The determination program of the present invention may be recorded in an external storage area (such as another computer) accessible from the computer via an information and communication network. In this case, the determination program of the present invention recorded in the external storage area can be installed in a recording medium from the external storage area via the information and communication network, as necessary, and used.
The determination program of the present invention may be divided into arbitrary processing portions and recorded on a plurality of recording media.

The processing by the judgment program of the present invention can be executed using a computer having a control unit that constitutes the judgment system.

Hereinafter, one embodiment of the present invention will be described, but the present invention is not limited to this embodiment in any way.
A first embodiment of the hardware configuration and functional configuration of a determination system will be described below.

[First embodiment]
Hereinafter, a first embodiment of the present invention will be described with reference to the drawings.

<Hardware configuration of the determination system>
FIG. 1 is a block diagram showing an example of the configuration of a determination system 100 according to an embodiment of the present invention.
As shown in FIG. 1, the determination system 100 includes a determination means 100' and input means 201a, 201b, 201c, . . . mounted on a terminal device 200A, a terminal device 200B, a terminal device 200C, .
The determination means 100' is communicably connected to input means 201a, 201b, 201c, . . . via a network 300.

Since the input units 201a, 201b, 201c, . . . have the same device configuration, they will be collectively referred to as "input unit 201" below.
Furthermore, when there is no need to distinguish between the terminal devices 200A, 200B, 200C, . . . , they may be simply referred to as "terminal device 200."

FIG. 2 is a block diagram showing an example of a hardware configuration of the determination system 100. As shown in FIG.
2, the determination system 100 includes a CPU (Central Processing Unit) 101, a main memory device 102, an auxiliary memory device 103, a communication interface 104, an input device 105a, and an output device 106a, and is connected to a terminal device 200 having an input device 105b and an output device 106b via a network 300. These components are connected to each other via a bus 107.
The CPU 101 is a processing device that performs various controls and calculations. The CPU 101 realizes various functions by executing an operating system (OS) and programs stored in the main memory device 102, etc. That is, in the present invention, the CPU 101 functions as a control unit 130 of the determination system 100 by executing a determination program.
Furthermore, the CPU 101 controls the overall operation of the determination system 100. Note that, in the present invention, the device that controls the overall operation of the determination system 100 is the CPU 101, but this is not limited thereto, and it may be, for example, an FPGA (Field Programmable Gate Array).
The main memory device 102 stores various programs and also stores data and the like required to execute the various programs.
The main storage device 102 includes, for example, at least one of a ROM and a RAM (Random Access Memory).
The ROM stores various programs such as a BIOS (Basic Input/Output System) and the determination program of the present invention. There are no particular limitations on the ROM, and it can be appropriately selected depending on the purpose. Examples of the ROM include a mask ROM and a programmable ROM (PROM).
The RAM functions as a working area in which various programs stored in the ROM or auxiliary storage device are expanded when executed by the CPU 101. There are no particular limitations on the RAM, and it can be appropriately selected depending on the purpose. Examples of the RAM include DRAM (Dynamic Random Access Memory) and SRAM (Static Random Access Memory).

The auxiliary storage device 103 is not particularly limited as long as it can store various information and can be appropriately selected according to the purpose. For example, a solid state drive (SSD) or a hard disk drive (HDD) can be used. The auxiliary storage device 103 may also be a portable storage device such as a CD drive, a DVD drive, or a BD (Blu-ray (registered trademark) Disc) drive.

There are no particular limitations on the communication interface 104, and any known interface may be used as appropriate, such as a wireless or wired communication device.

The input device 105a is not particularly limited as long as it can accept various requests and information input to the determination system 100, and any known device can be used as appropriate, such as a keyboard, a mouse, a touch panel, or a microphone. In addition, if the input device 105a is a touch panel (touch display), the input device 105a can also serve as the output device 106a.

There are no particular limitations on the output device 106a, and any suitable known device may be used, such as a display. There are no particular limitations on the display used in the output device 106a, and any suitable known device may be used, such as a liquid crystal display or an organic EL display.

The terminal device 200 has an input device 105b and an output device 106b. There are no particular limitations on the terminal device as long as it has the input device 105b, and it can be appropriately selected depending on the purpose, such as a smartphone. The terminal device 200 also has a display screen as the output device 106b. There are no particular limitations on the display screen, and it can be appropriately selected depending on the purpose, such as a liquid crystal display or an organic EL display.

The CPU 101 to the output device 106a in the determination system 100 may be part of a cloud, which is a group of computers on a network.

<Functional configuration of the determination system>
FIG. 3 is a diagram illustrating an example of a functional configuration of the determination system 100. As shown in FIG.
3, the determination system 100 has a communication unit 110, a storage unit 120, a control unit 130, an input unit 140, and an output unit 150. In the determination system 100, for example, the function of the communication unit 110 is realized by the communication interface 104, the function of the storage unit 120 is realized by the main storage unit 102 and the auxiliary storage unit 103, the function of the control unit 130 is realized by the CPU 101 and the main storage unit 102, the function of the input unit 140 is realized by the input devices 105a and 105b, and the function of the output unit 150 is realized by the output devices 106a and 106b.

The communication unit 110, for example, transmits and receives various types of data to and from external devices (e.g., a cloud server, etc.).

The memory unit 120 stores, for example, various programs and has a DB of objects under consideration 121, a DB of practical feed 122, and a DB of judgment results 123.

FIG. 4A is a diagram showing an example of the consideration object data stored in the consideration object DB 121. As shown in FIG.
As shown in FIG. 4A, the study object DB 121 includes data items such as "study object No.", "name", "part name", and "constituent".
FIG. 4B is a diagram showing an example of practical feed data stored in the practical feed DB 122.
As shown in FIG. 4B, the practical feed DB 122 includes data items such as "practical feed No.", "name", "mixed ingredients (mixed raw materials)", and "constituent ingredients".

FIG. 4C is a diagram illustrating an example of the determination result data stored in the determination result DB 123. As shown in FIG.
As shown in FIG. 4C, the determination result DB 123 includes data items such as "subject to be considered No.", "practical feed No.", "similarity between the subject to be considered and the practical feed", and "determination result".

The control unit 130 executes, for example, various programs stored in the memory unit 120 and controls the operation of the entire determination system 100. The control unit 130 has a matching unit 131 and a determination unit 132.

The control unit 130 accepts data of the specific information of the object under consideration received by the communication unit 110, and stores the accepted data of the specific information of the object under consideration in the object under consideration DB 121.
The collation unit 131 calculates the degree of similarity based on the received data of the specific information of the object under consideration and the data of the practical feed stored in the practical feed DB 122, and stores the calculation result in the judgment result DB 123.
The determining unit 132 determines whether the calculated degree of approximation is equal to or smaller than a predetermined threshold value.

Here, the control performed by the control unit 130 will be described in more detail using a specific example.
For example, as shown in Fig. 4A, a case will be described in which "cyanobacteria (Synechocystis sp. PCC 6803)" is used as the object to be examined [10001] and "yellowtail feed" (manufactured by Higashimaru Co., Ltd.) is used as the practical feed. Note that, as for specific information on "cyanobacteria (Synechocystis sp. PCC 6803)," reference was made to Flux Balance Analysis of Photoautotrophic Metabolism, Avantika A. Shastri and John A. Morgan, Biotechnol. Prog. 2005, 21, 1617-1626.
First, the user inputs, for example, "name", "constituent", and "constituent ratio (%)" as the specific information of the object under consideration. When the judgment system receives the specific information of the object under consideration, it compares the specific information of the object under consideration with the specific information of the practical feed in the practical feed DB 122. That is, it compares the constituent ratio (%) of the object under consideration with the constituent ratio (%) of at least one of the practical feed and the blended ingredients in the practical feed, and calculates the degree of similarity.
Regarding the calculation of the degree of approximation, for example, in the case shown in Figures 4A to 4C, the components in the object [10001] whose component ratio (%) is 30% or more correspond to the components in the practical feed DB whose component ratio (%) is 30% or more, so the sum of the absolute values of the differences between the corresponding component ratios (%) of the components whose component ratio (%) is 30% or more is calculated. As a result, "protein (51%)" in the object [10001] corresponds to the component "crude protein" whose component ratio (%) is 30% or more in the practical feeds [A0001] and [A0002], so the degree of approximation between the object [10001] (protein (51%)) and the practical feed [A0001] (crude protein (53%)) is "2", and the degree of approximation between the object [10001] and the practical feed [A0002] (crude protein (45%)) is "6".
In addition, in the practical feed [A0003], the component "protein (51%)", which has a component ratio (%) of 30% or more in the subject [10001], does not correspond to the component "crude fat (30%)", which has a component ratio (%) of 30% or more in the practical feed [A0003], so the degree of similarity is not calculated.
Here, the judgment unit 132 judges whether the calculated degree of approximation is equal to or less than a "predetermined threshold". In this example, for example, if the user sets the "predetermined threshold" to "10", as shown in FIG. 4C, the judgment unit 132 judges that the practical feeds [A0001] and [A0002], whose degrees of approximation are equal to or less than "10", have a constituent component in the practical feed that can be substituted for the subject of study [10001] as the judgment result. On the other hand, for the practical feed [A0003], for which the degree of approximation has not been calculated, the judgment unit 132 judges that the practical feed has no constituent component that can be substituted for the subject of study as the judgment result. These judgment results are stored in the judgment result DB.

In addition, a case will be described in which "green algae (Chlamydomonas sp. JSC4)" is used as the object of study [10002] and "yellowtail feed" (manufactured by Higashimaru Co., Ltd.) is used as the practical feed. Note that specific information for "green algae (Chlamydomonas sp. JSC4)" is provided in "Optimizing biodiesel production in marine Chlamydomonas sp. JSC4 through metabolic profiling and an innovative salinity-gradient strategy," Ho et al. See Biotechnology for Biofuels 2014, 7:97.
First, the degree of similarity is calculated in the same manner as described above. Specifically, the components "lipids (41.1%)" and "carbohydrates (33.2%)" whose component ratios (%) in the object under consideration [10002] are 30% or more were compared with the components whose component ratios (%) in the practical feeds [A10001] to [A0003] are 30% or more. As a result, since there are no corresponding components between the object under consideration [10002] and the practical feeds [A10001] to [A0003], the degree of similarity is not calculated.
Here, the judgment unit 132 judges that the practical feeds [A0001] to [A0003] for which the similarity has not been calculated are "not having any constituent in the practical feed that can be substituted for the subject of study" as the judgment result. These judgment results are stored in the judgment result DB.

Next, as shown in FIG. 4A, a case will be described in which the subject of study [10003] is a mixture of two types of subjects of study, and "yellowtail feed" (manufactured by Higashimaru Co., Ltd.) is used as practical feed.
As shown in FIG. 4A, the subject of study [10003] is a mixture of the above-mentioned (a) "cyanobacteria (Synechocystis sp. PCC 6803)" and (b) "green algae (Chlamydomonas sp. JSC4)" in a ratio of (a):(b) = 1:2.
First, the degree of approximation is calculated in the same manner as described above. Specifically, the component "lipid (30.7%)" in the object to be examined [10003], which has a component ratio (%) of 30% or more, does not correspond to the component "crude protein" in the practical feeds [A0001] and [A0002], which has a component ratio (%) of 30% or more, so the degree of approximation is not calculated. In the practical feed [A0003], the component "lipid (30.7%)" in the object to be examined [10003], which has a component ratio (%) of 30% or more, corresponds to the component "crude fat (30.0%)" in the practical feed [A0003], so the sum of the absolute values of the differences between the component ratios (%) of the corresponding components among the components with a component ratio (%) of 30% or more is calculated. As a result, the degree of similarity between the subject [10003] (lipid (30.7%)) and the practical feed [A0003] (crude fat (30.0%)) is "0.7".
Here, the judgment unit 132 judges whether the calculated degree of approximation is equal to or less than a "predetermined threshold". In this example, for example, if the user sets the "predetermined threshold" to "10", as shown in FIG. 4C, the judgment unit 132 judges that the practical feed [A0003], which has a degree of approximation of "10" or less, has a constituent component in the practical feed that can be substituted for the subject of study [10003], as a judgment result. On the other hand, for the practical feeds [A0001] and [A0002], for which the degree of approximation has not been calculated, the judgment unit 132 judges that the practical feed has no constituent component that can be substituted for the subject of study, as a judgment result. These judgment results are stored in the judgment result DB.

In the above-mentioned embodiment, an example was shown in which the composition ratio of two or more types of subject matter was clear when using two or more types of subject matter. However, if there is specific information on multiple subject matter feeds, the composition ratio is not necessarily required, and it is also possible to present the optimal composition ratio of two or more types of subject matter for the practical feed being compared, and the result of the determination as to whether or not it is possible to use them as an alternative.

The input unit 140, for example, accepts various instructions for the determination system 100.

The output unit 150 outputs, for example, the result determined by the determination unit 132 to the output device 106.

In the explanation of the hardware configuration and functional configuration of the judgment system, an example in which each element is integrated has been shown, but the present invention is not limited to this. For example, some elements may be separated and each may be connected to a network via a communication interface. More specifically, for example, the subject DB121 and practical feed DB122 may be stored in an area on a cloud server.

Next, the hardware configuration and functional configuration of the terminal device 200 will be described.

The terminal device 200 is a device used by a user or the like to transmit specific information about the object under consideration to the determination system 100.

<Hardware configuration of terminal device>
FIG. 5 is a block diagram showing an example of a hardware configuration of the terminal device 200. As shown in FIG.
As shown in Figure 5, the hardware configuration of the terminal device 200 is similar to that of the determination system 100 in Figure 2, except that the terminal device 200 is not shown via the network 300, so a description thereof will be omitted.

<Functional configuration of terminal device>
FIG. 6 is a block diagram showing an example of a functional configuration of the terminal device 200. As shown in FIG.
As shown in FIG. 6, the functional configuration of the terminal device 200 includes a communication unit 210 , a storage unit 220 , a control unit 230 , an input unit 240 , and an output unit 250 .

Based on instructions from the control unit 230, the communication unit 210 transmits the received specific information of the object to be considered to the determination system 100 using the communication interface 204.
Furthermore, the communication unit 210 receives information from the determination system 100 .
The memory unit 220 stores the information received from the determination system 100 in the auxiliary storage device 203 .
In addition, the control unit 230 controls the transmission and reception of information to the determination system 100 .

Next, the processing procedure of the judgment program of the present invention will be described. FIG. 7 is a flowchart showing an example of the processing procedure of the judgment program in the control unit 130 of the judgment system 100.

In step S101, the control unit 130 of the determination system 100 receives specific information of the object to be considered from the communication unit 110, and proceeds to S102.
In step S102, the collation unit 131 compares (contrasts) the component proportions (%) of the object under consideration in the received specific information of the object under consideration with the component proportions (%) of at least one of the practical feed and the blended components of the practical feed, and transitions to S103.
In step S103, the judgment unit 132 calculates the degree of similarity between the constituent ratio (%) of the object under consideration and the constituent ratio (%) of at least one of the practical feed and the blended components of the practical feed, and transitions to processing in S104.
In step S104, the judgment unit 132 judges whether the degree of approximation of the components is equal to or less than a threshold value. If the degree of approximation is equal to or less than the threshold value, the judgment unit 132 proceeds to S105. If the degree of approximation is equal to or more than the threshold value or the degree of approximation has not been calculated, the judgment unit 132 proceeds to S106.
In step S105, the judgment unit 132 judges that there is at least one of the practical feed and the blended components in the practical feed that can be substituted for the subject of consideration, and proceeds to S107.
In step S106, the judgment unit 132 judges that there is no practical feed and/or any of the blended ingredients in the practical feed that can be substituted for the subject of consideration, and proceeds to processing in S107.
In step S107, the determination unit 132 causes the result presentation means to present the result of the determination, and ends this process.

As described above, by using the determination system of the present invention, it can be determined whether or not the substance under consideration can be used as an alternative for practical feed itself or as a blending component of practical feed.
In the above explanation, we have described the case where one type of object under consideration is compared with one type of practical feed. However, by further combining one type of practical feed with another object under consideration that is different from the compared object under consideration to determine the possibility of alternative use, it is possible to determine the possibility of alternative use for components that could not be fully complemented by the one object under consideration.

Second Embodiment
The second embodiment will be described below with reference to the drawings.
The second embodiment is similar to the first embodiment except that a price information setting unit is further provided in the first embodiment. The following describes the differences from the first embodiment.

<Hardware configuration of the determination system>
In the second embodiment, the hardware configuration of the determination system 100 is similar to that of the first embodiment.

<Functional configuration of the determination system>
FIG. 8 is a diagram illustrating another example of the functional configuration of the determination system 100. As shown in FIG.
8 differs from FIG. 3 showing the first embodiment in that the storage unit 120 further includes a state information DB 124 and a comparative evaluation result DB 125, and the control unit 130 further includes a comparative evaluation unit 133.

The state information DB will now be described in more detail with reference to the drawings.
9A to 9G are diagrams showing examples of state information tables stored in the state information DB.
Examples of status information DB124 include "Organism A: Status Information Table (Breeding Environment Information)", "Organism A: Status Information Table (Organism Information)", and "Organism A: Status Information Table (Breeder Information)", as well as "Organism B: Status Information Table (Breeding Environment Information)", "Organism B: Status Information Table (Organism Information)", and "Organism B: Status Information Table (Breeder Information)".
9A to 9G show an example in which "yellowtail" was reared as organism A and organism B.
In addition, in FIGS. 9B to 9G, the same symbols or signs do not represent the same numerical values, but simply indicate that a numerical value is stored.

As shown in FIG. 9B , the “Organism A: Status Information Table (Breeding Environment Information)” includes data items such as “Organism A (yellowtail) Net-Pen No.”, “Data Acquisition Date”, “Breeding Facility”, “Breeding Period (days)”, “Feed Type”, “Breeding Density (kg/ ^m3 )”, “Breeding Environment Temperature (°C)”, and “Dissolved Oxygen Concentration (mg/L)”.
As shown in FIG. 9C , the “Organism A: Status Information Table (Organism Information)” includes data items such as “Organism A (Yellowtail) Net Pond No.”, “Body Length (cm)”, “Weight (g)”, “Weight Gain (%)”, “Feed Intake (g)”, “Feces Amount (g)”, “Mortality Rate (%)”, and “Nutritional Ratio (%) (Crude Protein (%)”, “Crude Fiber (%)”, “Crude Ash (%)”, “Calcium (%)”, and “Phosphorus (%)”).
As shown in FIG. 9D , the “Organism A: Status Information Table (Breeder Information)” includes data items such as “Organism A (yellowtail) Net-Pen No.”, “Breeder Name”, “Address”, and “Breeding Livestock Information (‘Type’, ‘Number (kg)’, and ‘Age (years)’)”.
As shown in FIG. 9E , the “Organism B: Status Information Table (Breeding Environment Information)” includes data items such as “Organism B (Yellowtail) Net-Pen No.”, “Data Acquisition Date”, “Breeding Facility”, “Breeding Period (days)”, “Feed Type”, “Breeding Density (kg/ ^m3 )”, “Breeding Environment Temperature (°C)”, and “Dissolved Oxygen Concentration (mg/L)”.
As shown in FIG. 9F , the “Organism B: Status Information Table (Organism Information)” includes data items such as “Organism B (Yellowtail) Net Pond No.”, “Body Length (cm)”, “Weight (g)”, “Weight Gain (%)”, “Feed Intake (g)”, “Feces Amount (g)”, “Mortality Rate (%)”, and “Nutritional Ratio (%) (Crude Protein (%)”, “Crude Fiber (%)”, “Crude Ash (%)”, “Calcium (%)”, and “Phosphorus (%)”).
As shown in FIG. 9G, the “Organism B: Status Information Table (Breeder Information)” includes data items such as “Organism B (Yellowtail) Net-Pen No.”, “Breeder Name”, “Address”, and “Breeding Livestock Information (Type, Number (kg), Age (years))”.

FIG. 10 is a diagram showing an example of a comparison evaluation result table stored in the comparison evaluation result DB 125. As shown in FIG.
As shown in FIG. 10, the comparative evaluation result DB 125 includes data items such as "Organism A (yellowtail) Net-Pen No.", "Organism B (yellowtail) Net-Pen No.", and "Comparative Evaluation Result".

For each piece of data stored in the status information DB, previously acquired information may be used as is, or a statistical value for each batch (serial number, fish farm number) in the status information data may be used, or a statistical value for each item in the status information data (for example, phosphorus concentration in the status information data) may be used.

The control unit 130 executes, for example, various programs stored in the memory unit 120 and controls the operation of the entire determination system 100. In the second embodiment, the control unit 130 controls the comparison evaluation unit 133.

The comparative evaluation unit 133 receives status information of the organism A raised by the determination unit 132 using alternative feed that can be substituted for the subject of consideration, and stores the acquired status information data in the status information DB 124 .
In addition, the comparative evaluation unit 133 evaluates the condition of organism A at the time of acquiring data on organism A based on the data stored in the status information DB 124 and the data on organism B raised using practical feed stored in the status information DB 124.

Here, the control performed by the control unit 130 will be described in more detail using a specific example.
For example, as shown in FIG. 9B, a case will be described in which "yellowtail" is used as organism A and "10001" is used as alternative feed.
First, the user inputs "breeding facility,""breeding period (days),""type of feed,""breeding density (kg/ ^m3 ),""breeding environment temperature (°C)," and "dissolved oxygen concentration (mg/L)" as "condition information of organism A (breeding environment information)." At this time, the user may also input breeder information such as that shown in Figures 9D and 9G at the same time. This makes it possible to select data using practical feed in breeding conditions with similar climates and breeding conditions and compare and evaluate them.
When the determination system 100 receives the "status information (rearing environment information) of organism A," the comparison evaluation unit 133 compares the "status information (rearing environment information) of organism A" with the "status information (rearing environment information) of organism B." That is, it searches for and extracts data of the "status information (rearing environment information) of organism B" that has data items that match or are close to the data items of the "status information (rearing environment information) of organism A."
Note that "having similar data items" means, for example, that the "breeding facility" is completely consistent, and that for the data items of "breeding period (days)", "breeding density (kg/ ^m3 )", "breeding environment temperature (°C)", and "dissolved oxygen concentration (mg/L)", there are two or more corresponding data items that fall within a numerical range of ±5% of the numerical value of the data item in "status information of organism A (breeding environment information)". The criteria for "having similar data items" can be set by the user as appropriate according to the purpose.
Next, the user inputs "body length (cm),""weight(g),""weight gain rate (%),""feed intake (g),""feces volume (g),""mortality rate (%)," and "nutritional component ratio (%) ("crude protein (%),""crude fiber (%),""crude ash (%),""calcium(%)," and "phosphorus (%)")" as "condition information of organism A (organism information)." These data items may be input manually, or may be obtained using sensors attached to the rearing environment and connected wirelessly or via a wire.
After comparing and extracting the input "Status Information of Organism A (Breeding Environment Information)" and "Status Information of Organism B (Breeding Environment Information)" that have matching or similar data items, each data item of the "Status Information of Organism A (Breeding Environment Information)" shown in Figures 9C and 9F is compared with the corresponding data item in "Status Information of Organism B (Breeding Environment Information)."
The comparison evaluation unit 133 stores the comparison result in the comparison evaluation result DB 125 .

The output unit 150 outputs, for example, the results of the evaluation performed by the comparison evaluation unit 133 to the output device 106.

Next, the processing procedure of the judgment program of the present invention will be described. FIG. 11 is a flowchart showing an example of the processing procedure of the judgment program in the control unit 130 of the judgment system 100.

In step S201, the control unit 130 of the determination system 100 receives, from the communication unit 110, status information on the organism A raised using alternative feed, and transitions to processing in S102.
In step S202, the comparison evaluation unit 133 of the control unit 130 of the judgment system 10 compares the received status information of organism A with the status information of organism B raised using the corresponding practical feed, and transitions to processing S203.
In step S203, the received organism A is compared with the collated organism B to evaluate whether its condition (quality) is good or not, and the process proceeds to S204.
In step S204, the evaluation results are stored in the comparative evaluation result DB, and the process proceeds to S205.
In step S205, the evaluation result is presented by the result presenting means, and the process ends.

As explained above, by using the determination system of the present invention, the status information acquired by the user and the status information of the organism (hereinafter referred to as organism B) raised without using the alternative feed are compared and evaluated by the comparative evaluation means, and the impact on the organism of using the alternative feed can be evaluated. This makes it possible to acquire information on the advantages (benefits) and disadvantages (disadvantages) of changing the subject of consideration to the alternative feed. If such information can be acquired, it is possible to provide information on the effects of using alternative feed in the fish farming industry, for example. Furthermore, producers and the like can consider implementing alternative feed for other organisms in the hope of seeing the effects of using alternative feed.

The aspects of the present invention include, for example, the following.
<1> A determination system for determining whether an object under consideration can be used as an alternative feed,
Accepting specific information about the subject of study;
The specific information of the subject to be examined is compared with the specific information of practical feed,
A determination means for determining the presence or absence of at least one of the practical feed and the blending components in the practical feed that can be substituted for the subject to be examined,
The present invention relates to a determination system.
<2> The determination system according to <1>, further comprising a result presentation means for presenting a result of the determination made by the determination means.
<3> The determination system according to any one of <1> to <2>, wherein the object to be examined is at least a part of a plant body, an animal body, a bacterium, a fungus, or a protozoan.
<4> The judgment system according to any one of <1> to <3>, wherein the specific information of the object under consideration includes at least one of a name of the object under consideration, a name of a part of the object under consideration, and a component ratio of the object under consideration.
<5> The determination system according to any one of <1> to <4>, wherein the determination means receives the specific information of the object to be considered from a user by at least one of wireless and wired communication.
<6> The determination means,
The component ratio of the object to be examined is compared with the component ratio of the practical feed and at least any of the blended components in the practical feed, and based on the degree of similarity,
The judgment system according to any one of <1> to <5>, which judges the presence or absence of at least one of the practical feed and the blended components in the practical feed that are replaceable with the subject of investigation.
<7> The degree of approximation is
A constituent component having a component ratio of 30% or more in the subject of study corresponds to a constituent component having a component ratio of 30% or more in at least one of the practical feed and the blended components in the practical feed, and
The determination system according to <6>, wherein the difference is calculated as a sum of absolute values of differences between the constituent proportions of corresponding components among the constituents having a constituent proportion of 30% or more.
<8> The determination means,
When the degree of approximation is equal to or less than a predetermined threshold,
The judgment system according to <7>, which judges that at least one of the practical feed and the blended components in the practical feed is replaceable with the subject of consideration.
<9> Status information of the organism A raised using the alternative feed that can be substituted for the object to be examined by the determination means;
Status information of organism B raised without using the alternative feed;
The judgment system according to any one of <1> to <8>, further comprising a comparison evaluation means for comparing and evaluating the above.
<10> A method for determining whether an object under consideration can be used as an alternative feed, comprising:
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
The method is characterized by comprising a determination step of determining the presence or absence of at least one of the practical feed and blended components in the practical feed that are replaceable with the subject of consideration.
<11> A determination program for determining whether an object under consideration can be used as an alternative feed,
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
The present invention is a judgment program for causing a computer to carry out a process for judging the presence or absence of at least one of the practical feed and the blended components in the practical feed that are replaceable with the subject of consideration.

The determination system described in any one of <1> to <9>, the determination method described in <10>, and the determination program described in <11> can solve the problems in the past and achieve the object of the present invention.

100 Determination system 100' Determination means 121 Database of object to be examined 122 Practical feed database 123 Determination result database 124 Status information database 125 Comparative evaluation result database 131 Collation unit 132 Determination unit 133 Comparative evaluation unit 200 Terminal (terminal device)
300 Network

Claims (11)

A determination system for determining whether an object under consideration can be used as an alternative feed, comprising:
Accepting specific information of the object of consideration;
The specific information of the subject to be examined is compared with the specific information of practical feed,
a determination means for comparing a constituent component having a constituent ratio of 30% or more in the subject to be examined with a constituent component having a constituent ratio of 30% or more in at least one of the practical feed and the blended components in the practical feed, and determining whether or not at least one of the practical feed and the blended components in the practical feed is replaceable with the subject to be examined based on a degree of approximation calculated as a total value of absolute values of differences between the constituent ratios of corresponding constituent components among the constituent components having a constituent ratio of 30% or more;
A determination system comprising: The judgment system according to claim 1, further comprising a result presentation means for presenting the result of the judgment made by the judgment means. The determination system according to any one of claims 1 to 2, wherein the object being examined is at least a part of a plant body, an animal body, a bacterium, a fungus, or a protozoan. The determination system according to any one of claims 1 to 3, wherein the specific information of the object under consideration includes at least one of the name of the object under consideration, the name of a part of the object under consideration, and the proportion of components of the object under consideration. The determination system according to any one of claims 1 to 4, wherein the determination means receives specific information about the object under consideration from a user through at least one of wireless and wired communication. The determination means:
When the degree of approximation is equal to or less than a predetermined threshold,
The determination system according to claim 1 , which determines that at least one of the practical feed and a compounding component in the practical feed is substitutable for the subject of consideration. The determination system according to claim 6 , wherein the predetermined threshold is 30 or less. The determination means:
The judgment system according to claim 6, wherein, when a constituent component having a constituent ratio of 30% or more in the object under consideration does not correspond to a constituent component having a constituent ratio of 30% or more in at least one of the practical feed and the blended components in the practical feed, the system judges that there is no at least one of the practical feed and the blended components in the practical feed that can be substituted for the object under consideration without calculating the degree of similarity. State information of the organism A bred using the alternative feed that can be substituted for the subject to be examined by the determination means;
Status information of organism B raised without using the alternative feed;
The determination system according to claim 1 , further comprising a comparison evaluation means for comparing and evaluating the above. A method for determining whether an object of consideration can be used as an alternative feed, comprising:
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
a determining step of comparing a constituent component having a constituent ratio of 30% or more in the subject to be examined with a constituent component having a constituent ratio of 30% or more in at least one of the practical feed and the blended components in the practical feed, and determining whether or not at least one of the practical feed and the blended components in the practical feed is replaceable with the subject to be examined based on a degree of approximation calculated as a total value of absolute values of differences between the constituent ratios of corresponding constituent components among the constituent components having a constituent ratio of 30% or more,
A determination method comprising: A determination program for determining whether an object under consideration can be used as an alternative feed,
Accept specific information about the subject of the study,
The received specific information of the subject of consideration is collated with specific information of practical feed,
a comparison is made between a constituent component having a constituent ratio of 30% or more in the subject of study and a constituent component having a constituent ratio of 30% or more in at least one of the practical feed and the compounded components in the practical feed, and the presence or absence of at least one of the practical feed and the compounded components in the practical feed that is replaceable with the subject of study is judged based on a degree of approximation calculated as a total value of absolute values of differences between the constituent ratios of the corresponding constituent components among the constituent components having a constituent ratio of 30% or more;
A determination program that causes a computer to perform a process.

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