Agricultural and livestock product identification system and agricultural and livestock product identification method

Abstract

To provide an agricultural and livestock product identification system and identification method which can widely carry out identification for individuals of agricultural and livestock products regardless of kinds thereof.SOLUTION: An agricultural and livestock product identification system 1 according to an embodiment of the present invention has: a server 10 for acquiring a first identifier based on plural kinds of feature amounts acquired with respect to a first group AP1 of agricultural and livestock products including a plurality of individuals and for acquiring a second identifier based on the feature amounts acquired with respect to the first group AP1 of the agricultural and livestock products; a reference data storing unit 20 for storing data including the first identifier and the second identifier as reference data; and a terminal device 110 for acquiring the first identifier based on plural kinds of feature amounts acquired with respect to a second group AP2 of agricultural and livestock products including a plurality of individuals to determine identify of the first group AP1 and the second group AP2 by collating the first identifier of the first group AP1 and the first identifier of the second group AP2.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an agricultural and livestock product identification system and an agricultural and livestock product identification method. [Background technology]

[0002] Traceability of agricultural and livestock products has been researched for many years, and for some expensive agricultural products, traceability is implemented by attaching a unique identifier (such as a two-dimensional code) to the package or label, or by embedding an RFID tag that stores a unique identifier. There are also known methods for implementing traceability of agricultural and livestock products based on the image of each individual agricultural product (for example, the mesh pattern of a melon skin).

[0003] However, attaching identifiers to packages and labels, or embedding RFID tags, is costly and is not a suitable method for low-priced general agricultural and livestock products. The cost issue is a problem that must be solved in order to realize traceability for agricultural and livestock products. In addition, traceability based on the image of each individual agricultural product has the problem that it is limited to a certain number of items.

[0004] Conventional traceability of agricultural and livestock products has generally been achieved by attaching identifiers or RFID tags to packaging or labels, making it difficult to identify individual agricultural products (individual identifiability). It is not possible to track individual agricultural and livestock products, making it easy to falsify the origin of agricultural and livestock products by replacing packaging, etc. (vulnerability to falsification). Furthermore, conventional methods have the problem of making it difficult to apply the identification of individual agricultural products to a variety of agricultural and livestock products (versatility).

[0005] As described above, conventional traceability methods have the problem that it is difficult to widely identify individual agricultural and livestock products regardless of their type while preventing fraud. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-226047 [Patent Document 2] Japanese Patent Application Laid-Open No. 2006-146570 Summary of the Invention [Problem to be solved by the invention]

[0007] The present invention has been made in consideration of the above problems, and provides an agricultural and livestock product identification system and identification method that enable widespread identification of individual agricultural and livestock products regardless of their type. [Means for solving the problem]

[0008] In order to solve the above problems, the livestock product identification system of the present invention is characterized by comprising: a server that acquires a first identifier based on multiple types of features acquired for a first collection of agricultural and livestock products including multiple individuals, and acquires a second identifier based on the features acquired for the first collection; a reference data storage unit that stores data including the first identifier and the second identifier as reference data; and a terminal device that acquires the first identifier based on multiple types of features acquired for a second collection of agricultural and livestock products including multiple individuals, and compares the first identifier for the first collection with the first identifier for the second collection to determine the identity of the first collection and the second collection.

[0009] Furthermore, the agricultural and livestock product identification method of the present invention is characterized by comprising the steps of: acquiring a first identifier based on multiple types of features acquired for a first set of agricultural and livestock products including multiple individuals; acquiring a second identifier from the features acquired for the first set of agricultural and livestock products; storing data including the first identifier and the second identifier in a database as reference data; acquiring the first identifier based on multiple types of features acquired for a second set of agricultural and livestock products including multiple individuals; and comparing the first identifier for the first set with the first identifier for the second set to determine the identity of the first set and the second set. [Effects of the Invention]

[0010] According to the agricultural and livestock product identification system and identification method of the present invention, it is possible to widely identify individual agricultural and livestock products regardless of their type while preventing counterfeiting. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a schematic diagram illustrating the overall configuration of an agricultural and livestock product identification system 1 according to a first embodiment. [Figure 2] 2 is a block diagram illustrating an example of the configuration of a server 10 and a terminal device 110 shown in FIG. [Figure 3] 1 is a schematic diagram illustrating how the server 10 measures a plurality of feature quantities of the components of a first set AP1 of agricultural and livestock products using various measuring devices. [Figure 4] FIG. 2 is a schematic diagram illustrating generation of a first identifier. [Figure 5] FIG. 10 is a schematic diagram illustrating generation of a second identifier. [Figure 6] 10 is a schematic diagram illustrating the addition of additional information by an additional information adding unit 13. FIG. [Figure 7] 10 is a schematic diagram illustrating how the terminal device 110 acquires the first and second feature amounts and the first and second identifiers. FIG. [Figure 8]This is a schematic diagram explaining the procedure for comparing the first identifier and / or second identifier acquired by the server 10 with the first identifier and / or second identifier acquired by the terminal device 110 in the comparison unit 115, and determining the identity of the first set AP1 and the second set AP2. [Figure 9] FIG. 1 is a schematic diagram illustrating matching between constituents (individuals) of a first set AP1 and a second set AP2. [Figure 10] 10 is a flowchart illustrating an example of a procedure for acquiring reference data in the server 10 and the reference data database 20. [Figure 11] 10 is a flowchart illustrating a procedure for matching between a first set AP1 and a second set AP2. [Figure 12A] FIG. 1 is a schematic diagram illustrating the calculation of Mahalanobis generalized distance. [Figure 12B] FIG. 1 is a schematic diagram illustrating the calculation of Mahalanobis generalized distance. [Figure 13] FIG. 10 is a block diagram illustrating an example of the configuration of a server 10 and a terminal device 110 of an agricultural and livestock products identification system 1 according to a second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, the present embodiment will be described with reference to the accompanying drawings. In the accompanying drawings, functionally identical elements may be designated by the same numerals. Note that the accompanying drawings show embodiments and implementation examples according to the principles of the present disclosure, but these are for understanding the present disclosure and are not to be used to interpret the present disclosure in a limiting manner. The descriptions in this specification are merely typical examples and are not intended to limit the scope or application of the present disclosure in any way.

[0013] Although the present embodiment has been described in sufficient detail to enable those skilled in the art to implement the present disclosure, it should be understood that other implementations and forms are possible, and that changes in configuration and structure and substitutions of various elements are possible without departing from the scope and spirit of the technical ideas of the present disclosure. Therefore, the following description should not be interpreted as being limited thereto.

[0014] [First embodiment] An agricultural and livestock product identification system according to a first embodiment will be described with reference to Figures 1 and 2. Figure 1 is a schematic diagram illustrating the overall configuration of the system 1, and Figure 2 is a block diagram illustrating an example of the configuration of a server 10 and a terminal device 110.

[0015] The agricultural and livestock product identification system 1 is configured by connecting a server 10 and a terminal device 110 via a network NW. The server 10 is linked to a reference data database 20. The server 10 measures various feature amounts of the components of a first collection AP1 of agricultural and livestock products produced in a production area of ​​the agricultural and livestock products, generates a first identifier based on the measured values ​​(feature amounts), and assigns the first identifier to the first collection AP1 of the agricultural and livestock products. The assigned first identifier is stored in the reference data database 20 as reference data. In other words, the system 1 targets an aggregation of agricultural and livestock products for identification, measures feature amounts indicating the characteristics of each component of the aggregation, generates an identifier based on the feature amounts, and enables the identifier to be used for identifying the agricultural and livestock products.

[0016] Meanwhile, terminal device 110 is placed at a distribution center or a retail store downstream from the production area, and measures the feature quantities of the components of second set AP2 of agricultural and livestock products that have arrived at the distribution center or retail store using various measuring instruments (e.g., sugar-acidity meter 130, weight scale 140, spectrophotometer 150), and generates and assigns a first identifier based on the measurement value. This system 1 is configured to be able to determine the identity of agricultural and livestock products by comparing the first identifier of first set AP1 with the first identifier of second set AP2.

[0017] 1 shows one server 10 and one terminal device 110 for the sake of simplicity, and the number of servers 10 is not limited to one and may be multiple. That is, the servers 10 may be distributed and located in multiple production areas of agricultural and livestock products, for example. Furthermore, multiple terminal devices 110 may be installed at distribution centers, retail stores, etc. for agricultural and livestock products.

[0018] 2, the server 10 may include a first identifier acquisition unit 11 that acquires a first identifier based on a first feature amount, a second identifier acquisition unit 12 that acquires a second identifier based on a second feature amount, an additional information assignment unit 13 that assigns additional information generated in accordance with the second feature amount, and an information transmission / reception unit 14 that transmits and receives information. The terminal device 110 may include a first identifier acquisition unit 111 that acquires a first identifier based on the first feature amount, a second identifier acquisition unit 112 that acquires a second identifier based on the second feature amount, an information transmission / reception unit 114 that transmits and receives information, and a matching unit 115 that matches the generated first / second identifier with reference data.

[0019] 3, the server 10 measures multiple feature quantities of the components of the first set AP1 of agricultural and livestock products using various measuring instruments (e.g., a sugar-acidity meter 30, a weight meter 40, and a spectrophotometer 50). Here, the feature quantities are, by way of example, chromaticity, saturation, weight, and sugar content. The first identifier acquisition unit 11 integrates these feature quantities to acquire a first identifier.

[0020] The first set AP1 may be, for example, a collection of cherry tomatoes contained in a package, but is not limited to this. The first feature quantities of the constituents of the first set AP1 are not limited to any particular ones, but may be, for example, at least two of sugar content, acidity, weight, size, chromaticity, saturation, etc. In FIG. 1, examples of the various measuring instruments include a sugar-acidity meter 30, a weight meter 40, and a spectrophotometer 50, but are not limited to these and may also include other instruments such as a caliper for measuring size and a moisture meter for measuring moisture content.

[0021] The server 10 also includes a second identifier acquisition unit 12, which can measure a feature (second feature) that is one of the features of the components of the first set AP1 of agricultural and livestock products and acquire a second identifier based on the second feature. The second feature is a single type of feature, unlike the first feature. Generating a second identifier based on the second feature makes it possible to determine the identity between the first set AP1 and the second set AP2, as well as the identity between individuals in multiple sets. Note that if determining the identity between individuals is not necessary, the generation of a second identifier in this system can be omitted. Note that the second feature may be a single feature obtained by combining multiple feature values. The second feature may be a feature different from the first feature value, or may be the same feature value.

[0022] As the second feature, a feature of the first set AP1 whose values ​​are all different among the constituents of the first set AP1 is selected as the second feature. In addition, the feature selected as the second feature is preferably a feature whose value changes little over time. This will be described in detail later. The acquired first identifier and second identifier are stored in the reference data database 20 as reference data.

[0023] As described above, the terminal device 110 is placed at a distribution center or a retail store for agricultural and livestock products. The terminal device 110 measures multiple feature amounts (first feature amounts) of components of the second set AP2 of agricultural and livestock products distributed from the production area using various measuring devices (e.g., a sugar-acidity meter 130, a weighing scale 140, and a spectrophotometer 150), and calculates a first identifier using the multiple first feature amounts. The measuring devices linked to the terminal device 110 in FIG. 1 are, for example, the sugar-acidity meter 130, the weighing scale 140, and the spectrophotometer 150, but are not limited to these. Furthermore, the types of measuring devices do not all need to be the same among the multiple terminal devices 110; the type of device is not important as long as it is possible to determine the identity of the acquired identifiers, etc.

[0024] Furthermore, the terminal device 110 can be configured to measure one feature (second feature) among the features of the constituents of the second set AP2 of agricultural and livestock products, and acquire a second identifier based on the second feature.

[0025] The generation of the first identifier will be described with reference to Fig. 4. As described above, the server 10 can acquire multiple feature amounts (e.g., chromaticity, saturation, weight, and sugar content) for each of the constituents of the first set AP1 using various measuring devices. The first identifier acquisition unit 11 selects some (two or more types) of these multiple feature amounts as the first feature amounts. For example, of the chromaticity, saturation, weight, and sugar content, three feature amounts, chromaticity, saturation, and sugar content, are selected as the first feature amounts, and the first identifier is generated.

[0026] The generation of the second identifier will be described with reference to FIG. 5. As described above, the server 10 can acquire multiple feature quantities (e.g., chromaticity, saturation, weight, and sugar content) for each of the constituents of the first set AP1 using various measuring devices. One of these feature quantities that was not selected as the first feature quantity can be selected as the second feature quantity. The feature quantity selected as the second feature quantity is preferably a feature quantity whose values ​​are all different among the multiple constituents. In addition, the feature quantity selected as the second feature quantity is preferably a feature quantity whose value changes little over time. In the example of FIG. 5, weight is selected as the second feature quantity because it is estimated that the value differs among all constituents and that the change in value over time is small. The second identifier is generated based on this weight data.

[0027] The addition of additional information by the additional information adding unit 13 will be described with reference to Fig. 6. The additional information generated by the additional information adding unit 13 is generated by rearranging the feature information with the second feature amount as an axis. At this time, a group number identifying the first set AP1 and an individual number identifying each component in the first set AP1 are added to each piece of data.

[0028] Acquisition of the first / second feature amounts and the first / second identifiers by the terminal device 110 will be described with reference to Fig. 7. The terminal device 110 may be equipped with various measuring devices similar to those linked to the server 10 and may be able to acquire the same feature amounts, but the various measuring devices possessed by the terminal device 110 may be partially different from the various measuring devices linked to the server 10, and the feature amounts acquired may also be partially different. For example, as shown in Fig. 7, the terminal device 110 may be able to measure only chromaticity, saturation, and weight, and may not measure sugar content.

[0029] Even in this case, the first identifier acquisition unit 111 can generate a first identifier based only on the measured values ​​of chromaticity and saturation, and the second identifier acquisition unit 112 can generate a second identifier based on the measured value of weight. Then, as shown in FIG. 8, the first identifier and / or the second identifier acquired by the server 10 is compared with the first identifier and / or the second identifier acquired by the terminal device 110 by the comparison unit 115, and the identity of the first set AP1 and the second set AP2 is determined. The identity can be determined by calculating the cumulative distance of the Mahalanobis generalized distance between the first identifiers, as will be described later. Specifically, the first set AP1 and the second set AP2 having the smallest cumulative distance of the Mahalanobis generalized distance can be determined to be the same.

[0030] With reference to Fig. 9, the matching between components (individuals) of the first set AP1 and the second set AP2 will be described. This procedure for matching between individuals is arbitrarily executed by a selection on the terminal device 110 side. The query data obtained by measuring the second set AP2 in the terminal device 110 is rearranged according to the weight, which is the second feature amount. In this state, the reference data is matched with the query data, and the identity of the first set AP1 and the second set AP2 is determined. The individual numbers are compared between the first set AP1 and the second set AP2 that are determined to be identical, and data with matching individual numbers is determined to represent the same individual.

[0031] 10, an example of a procedure for acquiring reference data in the server 10 and the reference data database 20 will be described. First, the server 10 measures the features of the individuals (components) belonging to each group (first set AP1) using various measuring instruments 30 to 50, etc. (Step S11). Next, some of the obtained features are selected as first features, and a first identifier is generated from the first features or a composite variable thereof (Step S12).

[0032] When matching between individuals is performed, a second feature is selected from multiple features based on the above criteria, and a second identifier is generated based on the selected second feature (or its composite variable) (step S13). Then, data is rearranged according to the generated second feature, and the above-mentioned additional information is added (step S14). When acquisition of features for all first sets AP1 (reference groups) is completed (step S15), the generated first identifiers, second identifiers, and additional information are stored in the reference data database 20 together with information on the group to which each individual belongs (step S16).

[0033] The procedure for matching between the first set AP1 and the second set AP2 will be described with reference to the flowchart in Fig. 11. First, the terminal device 110 measures the features of the components (individuals) belonging to the second set AP2 and generates a first identifier and a second identifier (steps S21 and S22). Note that the data of the first features used to generate the first identifier is subjected to dimensionality reduction processing as necessary (step S23). For the dimensionality reduction processing, any one of principal component analysis, PLS regression analysis, and t-SNE, or a combination thereof, can be applied.

[0034] The first identifier generated by the terminal device 110 is sequentially compared with all reference data stored in the reference data database 20 (step S24). When the reference data is retrieved from the reference data database 20 (step S31), it is first determined whether the number of components in the first set AP1 related to the reference data matches the number of components in the second set AP2 (step S32).

[0035] Next, it is determined whether the time elapsed from the date and time the reference data extracted in step S31 was acquired to the present is within a predetermined threshold. If it is within threshold Th1, the first identifier obtained from the feature amount of that reference data is compared with the data obtained by terminal device 110 (step S33). If it exceeds threshold Th1, the first identifier obtained from the feature amount of that reference data is excluded from comparison, and the next reference data is read (N). When excluding the first identifier from comparison, data processing may be performed to exclude the first identifier from comparison, or the reference data itself may be excluded from the database.

[0036] The data of the first feature amount of the reference data determined to be within the threshold Th1 in step S33 is subjected to dimension reduction processing as necessary (step S34). After that, the Mahalanobis generalized distance between the feature amount of the components in the reference data (first set AP1) and the feature amount of the components in the second set AP2 obtained by the terminal device 110 is calculated (step S35), and the distances between the closest individuals are summed to calculate the Mahalanobis generalized distance (step S36, see FIGS. 12A and 12B).

[0037] When the calculation of the Mahalanobis generalized distances with all the reference data has been completed, the process proceeds to step S37, where it is determined whether or not there is any reference data among the multiple reference data whose accumulated distance is equal to or less than threshold value Th2. If there is no such reference data (N), the message "No match" is displayed on the display of terminal device 110 (step S38).

[0038] On the other hand, if there is reference data whose cumulative distance is equal to the threshold value Th2 (Y), it may be determined that the first set AP1 and the second set AP2 associated with the reference data whose cumulative distance is the smallest among the reference data are identical (step S39). After that, an individual matching between the constituents of the second set AP2 and the constituents of the first set AP1 associated with the reference data is optionally performed according to the second identifier (step S40), and the reference data associated with the first set AP1 that is determined to match is displayed on the display of the terminal device 110 (step S41).

[0039] As described above, according to the agricultural and livestock product identification system 1 of the first embodiment, a first identifier is generated in the server 10 based on a plurality of first feature quantities, which are feature quantities of components constituting the first set AP1 of agricultural and livestock products, and stored as reference data in the reference data database 20. At agricultural and livestock product distribution centers and retailers, the terminal device 110 measures the first feature quantities of components constituting the second set AP2 of agricultural and livestock products, thereby acquiring a first identifier. The collation unit 115 of the terminal device 110 can determine identity between the first set AP1 and the second set AP2 by comparing the first identifier of the reference data with the first identifier of the measurement data. Furthermore, it can also determine the match between the components in the first set AP1 and the second set AP2 according to additional information obtained as needed using the second identifier. Thus, according to the first embodiment, the feature quantities of the components of the set of agricultural and livestock products are directly measured and used as the first identifier, thereby preventing falsification of the origin, etc., of agricultural and livestock products and enabling widespread identification of individual agricultural and livestock products regardless of their type.

[0040] [Second embodiment] Next, an agricultural and livestock product identification system 1 according to a second embodiment will be described with reference to FIG. 13. The overall configuration of the agricultural and livestock product identification system 1 according to the second embodiment may be the same as that of the first embodiment (FIG. 1). The configuration of the server 10 (FIG. 2) may also be the same. However, the configuration of the terminal device 110 differs from that of the first embodiment. Specifically, the terminal device 110 reads information relating to the first identifier / second identifier from the reference data database 20 via a first identifier acquisition / reading unit 111A and a second identifier acquisition / reading unit 112A, and this information can be used in the terminal device 110.

[0041] As described in the first embodiment, the terminal device 110 may not have various measuring devices that cooperate with the server 10. In this case, after determining whether the first set AP1 and the second set AP2 are identical, the reference data obtained for the first set AP is read and acquired as features for the second set AP2. As described above, according to the second embodiment, in addition to being able to obtain the same effects as those of the first embodiment, the data stored in the reference data database 20 can be used in the terminal device 110, making it possible to provide information on agricultural and livestock products more appropriately.

[0042] The present invention is not limited to the above-described embodiments, and various modifications are possible. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to embodiments including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment. It is also possible to add the configuration of another embodiment to the configuration of one embodiment. It is also possible to delete part of the configuration of each embodiment, or to add or replace other configurations. [Explanation of symbols]

[0043] 1. Agricultural and livestock product identification system 10...Server 11...First identifier acquisition unit 12...Second identifier acquisition unit 13...Additional information section 14...Information transmission and reception unit 20...Reference Data Database 30, 130…sugar acidity meter 40, 140...Weight scale 50, 150...Spectrophotometer 110...Terminal device 111...first identifier acquisition unit 111A…First identifier acquisition / reading unit 112...second identifier acquisition unit 112A…Second identifier acquisition / reading unit 114...Information transmission and reception unit 115...Collation section AP1…1st set AP2…2nd set

Claims

1. a server that acquires a first identifier based on a plurality of types of feature amounts acquired for a first collection of agricultural and livestock products including a plurality of individuals, and acquires a second identifier based on the feature amounts acquired for the first collection; a reference data storage unit that stores data including the first identifier and the second identifier as reference data; a terminal device that acquires the first identifier based on multiple types of feature amounts acquired for a second set of agricultural and livestock products including multiple individuals, and compares the first identifier for the first set with the first identifier for the second set to determine the identity of the first set and the second set; Equipped with The terminal device determines that the first set and the second set are the same, with the smallest cumulative distance of Mahalanobis generalized distances between the first identifier for the first set and the first identifier for the second set. An agricultural and livestock product identification system.

2. The agricultural and livestock product identification system of claim 1, wherein the terminal device is configured to acquire the second identifier based on the features acquired for the second set, and to match the second identifier for the first set with the second identifier for the second set to match individuals included in the first set with those included in the second set.

3. The agricultural and livestock product identification system according to claim 2 , wherein the second identifier is acquired based on a single type of feature amount.

4. The agricultural and livestock product identification system according to claim 3 , wherein the second identifier is acquired by selecting, as a feature, a feature whose values ​​are all different among the plurality of individuals included in the first set.

5. The agricultural and livestock product identification system according to claim 2 , wherein the terminal device is configured to compare the number of individuals included in the first set with the number of individuals included in the second set.

6. The agricultural and livestock product identification system of claim 1, wherein the terminal device excludes the first identifier obtained from the features of the first set from being compared with the first identifier of the second set if a time greater than a predetermined threshold has elapsed since the date and time the features were acquired for the first set.

7. The agricultural and livestock product identification system according to claim 1, wherein the terminal device is configured to, when it is determined that the first set and the second set are identical, read out the reference data from the reference data storage unit and acquire the feature amount.

8. acquiring a first identifier based on a plurality of types of feature amounts acquired for a first set of agricultural and livestock products including a plurality of individuals; acquiring a second identifier from the feature amount acquired for the first set of agricultural and livestock products; storing data including the first identifier and the second identifier in a database as reference data; acquiring the first identifier based on a plurality of types of feature amounts acquired for a second set of agricultural and livestock products including a plurality of individuals; matching the first identifier for the first set with the first identifier for the second set to determine identity of the first set and the second set; Equipped with In the step of determining the identity, it is determined that the first set and the second set are identical when the integrated distance of Mahalanobis generalized distances between the first identifier for the first set and the first identifier for the second set is smallest. A method for identifying agricultural and livestock products.

9. obtaining the second identifier based on the features obtained for the second set; matching the second identifier for the first set with the second identifier for the second set to match individuals included in the first set with individuals included in the second set; The agricultural and livestock product identification method according to claim 8, comprising:

10. The agricultural and livestock product identification method according to claim 9 , wherein the second identifier is acquired based on a single type of feature amount.

11. The agricultural and livestock product identification method according to claim 10 , wherein the second identifier is acquired by selecting, as a feature, a feature whose values ​​are all different among the plurality of individuals included in the first set.

12. The agricultural and livestock product identification method according to claim 9 , further comprising a step of comparing the number of individuals included in the first set with the number of individuals included in the second set.

13. 9. The agricultural and livestock product identification method of claim 8, wherein if a time greater than a predetermined threshold has elapsed since the date and time the features were acquired for the first set, the first identifier obtained from the features of the first set is excluded from being compared with the first identifiers of the second set.

14. The livestock product identification method according to claim 8, further comprising the step of reading out the reference data from the database and acquiring the feature amount when the identity of the first set and the second set is determined.

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