An intelligent evaluation system based on the characteristics of agricultural product origins

Abstract

The present invention relates to the field of landmark agricultural products, and in particular to a smart evaluation system based on the origin characteristics of landmark agricultural products, the system comprising a product identification module, which is used to obtain agricultural product images and determine the type of agricultural products based on the obtained agricultural product images; a data acquisition module, which is connected to the product identification module, to determine the way to extract the characteristics of the agricultural product images; a data analysis module, which is connected to the data acquisition module, to determine the way to process the agricultural product images; an image processing module, which is connected to the data analysis module, to determine the eligibility of the way to process the agricultural product images; a data determination module, which is connected to the image processing module, to determine the eligibility of the origin characteristics of the agricultural products; and a data adjustment module, which is connected to the data determination module, to determine the way to adjust the preset difference evaluation value. The present invention improves the accuracy of the origin traceability of landmark agricultural products.

Description

Technical Field

[0001] The present invention relates to the field of landmark agricultural products, and in particular to an intelligent evaluation system based on the origin characteristics of landmark agricultural products. Background Art

[0002] As special agricultural products with regional monopoly, product uniqueness and scarcity, the brand value of geographical indication agricultural products has gradually been valued. However, the management and evaluation of geographical indication agricultural products still face many challenges, such as uneven quality, excessive use of brands, single product structure and loopholes in quality supervision. Therefore, the development of an intelligent evaluation system based on the origin characteristics of geographical indication agricultural products is of great significance for improving the quality of geographical indication agricultural products, protecting brand value and promoting high-quality agricultural development.

[0003] Chinese patent application publication number: CN116883026A discloses a method and system for tracing the origin of agricultural products based on big data, including: building a basic information database; establishing standard agricultural product samples as reference benchmarks, extracting specific features of agricultural products, and building a multidimensional feature extraction set; analyzing sample features in the same region, setting feature limit intervals for samples in the same region; establishing an origin tracing network, and based on the establishment results, evaluating the similarity of features in different regions, and determining similar traceability regions; building a positioning and identification subnetwork for similar traceability regions, and coupling the subnetwork to the origin tracing network; extracting a target agricultural product data set, inputting the target agricultural product data set into the origin tracing network, and generating an origin tracing result. However, the prior art has the following problems:

[0004] The existing technology has the problem of low accuracy in processing the origin characteristics of landmark agricultural products, which leads to low accuracy in tracing the origin of landmark agricultural products. Summary of the invention

[0005] To this end, the present invention provides an intelligent evaluation system based on the origin characteristics of landmark agricultural products, so as to overcome the problem of low accuracy in tracing the origin of landmark agricultural products in the prior art.

[0006] To achieve the above-mentioned purpose, the present invention provides a smart evaluation system based on the characteristics of the origin of landmark agricultural products, comprising:

[0007] A product recognition module, which is used to obtain agricultural product images and determine the types of agricultural products based on the obtained agricultural product images;

[0008] A data acquisition module connected to the product identification module, for extracting explicit features of agricultural product images or implicit features of agricultural product images based on the difference evaluation values ​​of regional characteristics of agricultural products, wherein the explicit features include the size and shape of the corresponding type of agricultural products, and the implicit features include the texture and surface roughness of the corresponding type of agricultural products;

[0009] A data analysis module connected to the data acquisition module, for determining an agricultural product image processing method for comparing the agricultural product image with a standard sample image according to the number of explicit features or the number of implicit features corresponding to the agricultural product image, or an agricultural product image processing method jointly determined according to the implicit feature similarity and the climate similarity;

[0010] An image processing module connected to the data analysis module is used to determine the eligibility of the corresponding agricultural product image processing method according to the explicit feature similarity or the implicit feature similarity under the condition of the corresponding agricultural product image processing method, and to adjust the resolution of the agricultural product image based on the difference between the preset explicit feature similarity and the explicit feature similarity;

[0011] A data determination module connected to the image processing module for determining the eligibility of the origin characteristics of the agricultural products according to the characteristic evaluation value or the similar characteristic evaluation value, based on the condition that the corresponding agricultural product image processing method is qualified;

[0012] A data adjustment module is connected to the data determination module and is used to determine and adjust the preset difference evaluation value according to the evaluation value of the degree of influence of the production area characteristics on the agricultural products.

[0013] Furthermore, the data acquisition module determines to extract the explicit features of the agricultural product image based on the comparison result that the difference evaluation value of the regional characteristics of any type of agricultural product is greater than the preset difference evaluation value, and determines to adopt the agricultural product image processing method of comparing the agricultural product image with the standard sample image based on the comparison result that the number of explicit features is less than or equal to the preset number of explicit features.

[0014] Furthermore, the image processing module determines that the processing method of comparing the agricultural product image with the standard sample image is unqualified based on the comparison result that the explicit feature similarity is less than the preset explicit feature similarity, and determines to increase the resolution of the agricultural product image by the first preset resolution adjustment coefficient based on the comparison result that the difference between the preset explicit feature similarity and the explicit feature similarity is less than or equal to the preset difference.

[0015] Furthermore, the image processing module determines that the processing method of comparing the agricultural product image with the standard sample image is unqualified based on the comparison result that the explicit feature similarity is less than the preset explicit feature similarity, and determines to increase the resolution of the agricultural product image with a second preset resolution adjustment coefficient based on the comparison result that the difference between the preset explicit feature similarity and the explicit feature similarity is greater than the preset difference.

[0016] Furthermore, the data determination module determines that the origin characteristics of the agricultural product are qualified based on the comparison result that the dominant feature similarity is greater than or equal to the preset dominant feature similarity and the comparison result that the feature evaluation value is greater than or equal to the preset feature evaluation value.

[0017] Furthermore, the data acquisition module is also used to determine the extraction of implicit features of the agricultural product image based on the comparison result that the difference evaluation value of the regional characteristics of any type of agricultural product is less than or equal to a preset difference evaluation value. The data analysis module, under the condition of determining the extraction of implicit features of the agricultural product image, determines that the agricultural product image processing method is qualified based on the comparison result that the number of implicit features is less than or equal to a preset number of implicit features and the similarity of implicit features is greater than or equal to a preset implicit feature similarity.

[0018] Furthermore, under the condition of determining to extract latent features of agricultural product images, the data analysis module jointly determines that the processing method is qualified based on the comparison results that the number of latent features is greater than a preset number of latent features and the similarity of latent features is greater than or equal to the preset latent feature similarity and the comparison results that the climate similarity is greater than or equal to the preset climate similarity.

[0019] Furthermore, the data determination module determines that the origin characteristics of the agricultural product are qualified based on the comparison result that the similarity feature evaluation value is greater than or equal to the preset similarity feature evaluation value, under the condition that the jointly determined processing method is qualified.

[0020] Furthermore, under the condition that the origin characteristics of the agricultural products are determined to be unqualified, the data adjustment module determines to increase the preset difference evaluation value by the first preset difference adjustment coefficient based on the comparison result that the evaluation value of the impact of the origin characteristics on the agricultural products is less than or equal to the preset impact evaluation value.

[0021] Furthermore, under the condition that the origin characteristics of the agricultural products are determined to be unqualified, the data adjustment module determines to increase the preset difference evaluation value by a second preset difference adjustment coefficient based on the comparison result that the impact evaluation value of the origin characteristics on the agricultural products is greater than the preset impact evaluation value.

[0022] Compared with the prior art, the beneficial effect of the present invention is that the present invention intelligently selects and extracts implicit or explicit features of agricultural product images based on the comparison results of the difference evaluation values ​​of the regional characteristics of agricultural products and the preset values ​​through the data acquisition module. At the same time, the data analysis module further determines whether to compare and process the agricultural product images with standard samples based on the comparison results of the number of extracted explicit features and the preset number of explicit features. This intelligent feature extraction and processing mechanism improves the accuracy and efficiency of agricultural product identification, thereby improving the accuracy of tracing the origin of landmark agricultural products.

[0023] Furthermore, the present invention evaluates the eligibility of the comparison processing method by comparing the explicit feature similarity obtained by comparing the explicit features of the agricultural product image with the explicit features of the standard sample image with the preset explicit feature similarity. After confirming that the comparison processing method is qualified, it further determines whether the agricultural product is a landmark agricultural product by comparing the feature evaluation value with the preset feature evaluation value. The accuracy of agricultural product identification is improved, and it can adapt to the identification needs of agricultural products of different types and regions, improve the processing efficiency and accuracy, and thus improve the accuracy of tracing the origin of landmark agricultural products.

[0024] Furthermore, the present invention determines the comparison method by judging the number of latent features in the agricultural product images. If there are few latent features, the images are directly compared; if there are many latent features, the comparison is combined with climate similarity, thereby improving the accuracy and reliability of agricultural product evaluation and improving the efficiency of processing landmark agricultural product origin characteristics.

[0025] Furthermore, the present invention determines whether the origin characteristics of agricultural products are qualified by comparing the similarity feature evaluation value determined jointly by the implicit feature similarity and the climate similarity with the preset similarity feature evaluation value. This can more accurately identify and determine whether the origin characteristics of agricultural products meet the standards, thereby improving the accuracy of traceability of the origin of landmark agricultural products.

[0026] Furthermore, the present invention increases the preset difference evaluation value by comparing the impact evaluation value of the origin characteristics on the agricultural products with the preset impact evaluation value, and uses different preset difference adjustment coefficients to improve the accuracy of origin traceability. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of module connection of a smart evaluation system based on the characteristics of the origin of landmark agricultural products according to an embodiment of the present invention;

[0028] Figure 2 A logic diagram for determining a method for extracting features of agricultural product images according to an embodiment of the present invention;

[0029] Figure 3 A logic diagram for determining eligibility of a method for processing an agricultural product image in accordance with an embodiment of the present invention;

[0030] Figure 4 A logic diagram for determining adjustment of a preset difference evaluation value according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0032] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0033] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical test data and the corresponding historical test results of the present invention three months before the current test. It can be understood by those skilled in the art that the present invention can determine the above parameters for a single item by selecting the highest proportion of values ​​as the preset standard parameters according to the data distribution, using weighted summation to use the obtained values ​​as the preset standard parameters, substituting each historical data into a specific formula and using the values ​​obtained by the formula as the preset standard parameters or other selection methods, as long as the system of the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0034] See also Figure 1 - Figure 4 As shown, Figure 1 It is a schematic diagram of module connection of a smart evaluation system based on the characteristics of the origin of landmark agricultural products according to an embodiment of the present invention; Figure 2 A logic diagram for determining a method for extracting features of agricultural product images according to an embodiment of the present invention; Figure 3 A logic diagram for determining eligibility of a method for processing an agricultural product image in accordance with an embodiment of the present invention; Figure 4 A logic diagram for determining adjustment of a preset difference evaluation value according to an embodiment of the present invention.

[0035] The embodiment of the present invention provides a smart evaluation system based on the characteristics of the origin of landmark agricultural products, including:

[0036] A product recognition module, which is used to obtain agricultural product images and determine the types of agricultural products based on the obtained agricultural product images;

[0037] A data acquisition module, which is connected to the product identification module and is used to determine a method for extracting agricultural product image features based on difference evaluation values ​​of regional characteristics of agricultural products;

[0038] A data analysis module connected to the data acquisition module, for determining a processing method for the agricultural product image based on the number of explicit features or the number of implicit features of the agricultural product image;

[0039] An image processing module connected to the data analysis module is used to determine the eligibility of the agricultural product image processing method based on the explicit feature similarity obtained by comparing the explicit features of the agricultural product image with the explicit features of the standard sample image, or the implicit feature similarity obtained by comparing the implicit features of the agricultural product image with the implicit features of the standard sample image, and to determine the adjustment of the resolution of the agricultural product image based on the difference between the implicit feature similarity and the preset implicit feature similarity;

[0040] A data determination module, connected to the image processing module, for determining the eligibility of the origin characteristics of the agricultural product based on the characteristic evaluation value or the similar characteristic evaluation value;

[0041] A data adjustment module is connected to the data determination module and is used to determine an adjustment method for a preset difference evaluation value based on the evaluation value of the degree of influence of the origin characteristics on the agricultural products.

[0042] In the embodiment of the present invention, the agricultural product images are captured by a camera device such as an agricultural camera that can obtain agricultural product information in real time.

[0043] Specifically, the data acquisition module determines the method of extracting the image features of the agricultural products based on the comparison result of the difference evaluation value of the regional characteristics of the agricultural products and the preset difference evaluation value of 0.83 under the condition that the product identification module determines the type of the agricultural products;

[0044] If the difference evaluation value is less than or equal to the preset difference evaluation value, determining to extract the implicit features of the agricultural product image;

[0045] If the difference evaluation value is greater than the preset difference evaluation value, it is determined to extract the dominant features of the agricultural product image.

[0046] In the embodiment of the present invention, the preset difference evaluation value is 0.83, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0047] In the embodiment of the present invention, the dominant characteristics include the size and shape of the corresponding type of agricultural products, and the recessive characteristics include the texture and surface roughness of the corresponding type of agricultural products.

[0048] Specifically, the difference evaluation value of the regional characteristics of agricultural products is the ratio of the average wind speed of the origin of the determined agricultural product type within the preset time to the historical average wind speed multiplied by the ratio of the average humidity within the preset time to the historical average humidity, and the preset time is 5 hours.

[0049] Specifically, the data analysis module determines the processing method of the agricultural product image according to the comparison result of the number of explicit features and the preset number of explicit features 23, under the condition that the data acquisition module extracts the explicit features of the agricultural product image;

[0050] If the number of dominant features is less than or equal to the preset number of dominant features, determining to adopt a processing method of comparing the agricultural product image with the standard sample image;

[0051] If the number of dominant features is greater than the preset number of dominant features, it is determined that the agricultural product image is not to be processed.

[0052] In the embodiment of the present invention, the preset value of the number of dominant features is 23, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0053] Specifically, the data analysis module determines the number of dominant features according to the difference between the difference evaluation value and the preset difference evaluation value.

[0054] Specifically, the number of explicit features of the agricultural product image is the preset number of features plus the ratio of the absolute value of the difference between the difference evaluation value and the preset evaluation value to the preset difference evaluation value, and the preset number of features is 10.

[0055] Specifically, the present invention intelligently selects and extracts implicit or explicit features of agricultural product images based on the comparison results of the difference evaluation values ​​of agricultural product regional characteristics with preset values ​​through the data acquisition module. At the same time, the data analysis module further determines whether to compare the agricultural product image with the standard sample based on the comparison results of the number of extracted explicit features with the preset number of explicit features. This intelligent feature extraction and processing mechanism improves the accuracy and efficiency of agricultural product identification, thereby improving the accuracy of tracing the origin of landmark agricultural products.

[0056] Specifically, the image processing module determines the eligibility of comparing the agricultural product image with the standard sample image based on the comparison result of the dominant feature similarity obtained by comparing the dominant feature of the agricultural product image with the dominant feature of the standard sample image and the preset dominant feature similarity of 95% under the condition that the data analysis module determines to compare the agricultural product image with the standard sample image;

[0057] If the dominant feature similarity is less than the preset dominant feature similarity, it is determined that the processing method of comparing the agricultural product image with the standard sample image is unqualified;

[0058] If the dominant feature similarity is greater than or equal to the preset dominant feature similarity, it is determined that the processing method of comparing the agricultural product image with the standard sample image is qualified.

[0059] In the embodiment of the present invention, the preset explicit feature similarity is 95%. The preset explicit feature similarity is obtained by taking the average of the explicit feature similarities between the explicit features of several qualified agricultural product images in the past and the explicit features of the standard sample image. However, the above value is not limited to this, and those skilled in the art may also adjust the value according to actual needs.

[0060] Specifically, the image processing module calculates the similarity of the dominant features according to the following formula, setting:

[0061] ;

[0062] Among them, J represents the similarity of dominant features, n represents the number of dominant features, Si represents the color of the ith dominant feature of the agricultural product image, S0i represents the color of the ith dominant feature of the standard sample image, Ti represents the shape of the ith dominant feature of the agricultural product image, and T0i represents the shape of the ith dominant feature of the standard sample image.

[0063] Specifically, the image processing module determines to adjust the resolution of the agricultural product image according to a comparison result between the preset dominant feature similarity and the difference between the dominant feature similarity and the preset difference value of 0.35 under the condition that the processing method is determined to be unqualified;

[0064] If the difference is less than or equal to the preset difference, it is determined to increase the resolution of the agricultural product image to a corresponding value using a first preset resolution adjustment coefficient of 1.12;

[0065] If the difference is greater than the preset difference, it is determined to increase the resolution of the agricultural product image to a corresponding value using a second preset resolution adjustment coefficient of 1.29;

[0066] The difference is the difference between the preset dominant feature similarity and the dominant feature similarity.

[0067] In the embodiment of the present invention, the preset difference value is 0.35, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0068] In an embodiment of the present invention, the increased resolution of the agricultural product image is the product of the resolution of the agricultural product image and the nth preset resolution adjustment coefficient, where n is 1 or 2, V1 represents the first preset resolution adjustment coefficient, and V2 represents the second preset resolution adjustment coefficient.

[0069] Specifically, the data determination module determines the eligibility of the origin characteristics of the agricultural product according to the comparison result between the characteristic evaluation value and the preset characteristic evaluation value 0.85, under the condition that the image processing module determines that the processing method of comparing the agricultural product image with the standard sample image is qualified;

[0070] If the characteristic evaluation value is less than the preset characteristic evaluation value, it is determined that the origin characteristic of the agricultural product is unqualified;

[0071] If the characteristic evaluation value is greater than or equal to the preset characteristic evaluation value, it is determined that the origin characteristics of the agricultural product are qualified.

[0072] In the embodiment of the present invention, the preset characteristic evaluation value is 0.85, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0073] Specifically, the feature evaluation value of the agricultural product image is the difference between the explicit feature similarity and the preset explicit feature similarity divided by the number of explicit features.

[0074] Specifically, the present invention compares the explicit feature similarity obtained by comparing the explicit features of the agricultural product image with the explicit features of the standard sample image with the preset explicit feature similarity to evaluate the eligibility of the comparison processing method. After confirming that the comparison processing method is qualified, the comparison result of the feature evaluation value and the preset feature evaluation value is further used to determine whether the agricultural product is a landmark agricultural product. The accuracy of agricultural product identification is improved, and it can adapt to the identification needs of agricultural products of different types and regions, improve the processing efficiency and accuracy, and thus improve the accuracy of tracing the origin of landmark agricultural products.

[0075] Specifically, the data analysis module determines the processing method of the agricultural product image according to the comparison result of the number of implicit features of the agricultural product image and the preset number of implicit features 10, under the condition that the data acquisition module extracts the implicit features of the agricultural product image;

[0076] If the number of the latent features is less than or equal to the preset number of latent features, determining to adopt an agricultural product image processing method of comparing the agricultural product image with a standard sample image;

[0077] If the number of latent features is greater than the preset number of latent features, the agricultural product image processing method is determined by jointly determining the latent feature similarity obtained by comparing the agricultural product image with the standard sample image and the climate similarity obtained by comparing the local climate with the historical climate.

[0078] In the embodiment of the present invention, the preset value of the number of implicit features is 10, but the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0079] Specifically, the data analysis module determines the number of dominant features according to the difference between the difference evaluation value and the preset difference evaluation value.

[0080] Specifically, the number of implicit features of the agricultural product image is the number of preset features minus the ratio of the absolute value of the difference between the difference evaluation value and the preset evaluation value to the preset difference evaluation value, and the preset number of features is 10.

[0081] Specifically, the image processing module determines the eligibility of the processing method of comparing the agricultural product image with the standard sample image based on the comparison result of the implicit feature similarity obtained by comparing the implicit features of the agricultural product image with the implicit features of the standard sample image and the preset implicit feature similarity of 87% under the condition that the data analysis module determines to compare the agricultural product image with the standard sample image;

[0082] If the implicit feature similarity is less than the preset implicit feature similarity, it is determined that the processing method of comparing the agricultural product image with the standard sample image is unqualified;

[0083] If the implicit feature similarity is greater than or equal to the preset implicit feature similarity, it is determined that the processing method of comparing the agricultural product image with the standard sample image is qualified.

[0084] In the embodiment of the present invention, the preset implicit feature similarity is 87%. The preset implicit feature similarity is obtained by taking the average of the implicit feature similarities between the implicit features of several qualified agricultural product images in the past and the implicit features of the standard sample image. However, the above value is not limited to this, and those skilled in the art may also adjust the value according to actual needs.

[0085] Specifically, the image processing module calculates the implicit feature similarity according to the following formula, setting:

[0086] ;

[0087] Among them, Q represents the similarity of implicit features, m represents the number of implicit features, Fj represents the color of the jth implicit feature of the agricultural product image, F0j represents the color of the jth implicit feature of the standard sample image, Ej represents the shape of the jth implicit feature of the agricultural product image, and E0j represents the shape of the jth implicit feature of the standard sample image.

[0088] Specifically, the image processing module determines the eligibility of the comparison between the local climate and the historical climate according to the comparison result of the climate similarity and the preset climate similarity of 85%, under the condition that the data analysis module determines the comparison between the local climate and the historical climate;

[0089] If the climate similarity is less than the preset climate similarity, it is determined that the local climate is unqualified in comparison with the historical climate;

[0090] If the climate similarity is greater than or equal to the preset climate similarity, it is determined that the local climate is qualified in comparison with the historical climate.

[0091] In the embodiment of the present invention, the preset climate similarity value is 85%, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0092] Specifically, the image processing module calculates the climate similarity according to the following formula, setting:

[0093] ;

[0094] Among them, U represents climate similarity, Kd represents the average annual temperature of the local area, K0 represents the average historical temperature of the local area, Hd represents the average annual precipitation of the local area, H0 represents the average historical precipitation of the local area, Gd represents the average annual sunshine duration of the local area, and G0 represents the average historical sunshine duration of the local area.

[0095] Specifically, the data determination module determines the similarity feature evaluation value by combining the similarity of the implicit features obtained by comparing the agricultural product image with the standard sample image and the similarity of the climate obtained by comparing the local climate with the historical climate.

[0096] Specifically, the present invention determines the comparison method by judging the number of implicit features in the agricultural product images. If there are few implicit features, the images are directly compared. If there are many implicit features, the comparison is combined with climate similarity. This improves the accuracy and reliability of agricultural product evaluation and improves the efficiency of processing landmark agricultural product origin characteristics.

[0097] Specifically, the data determination module determines the eligibility of the origin characteristics of the agricultural product according to the comparison result of the similarity characteristic evaluation value and the preset similarity characteristic evaluation value of 0.75;

[0098] If the similarity feature evaluation value is less than the preset similarity feature evaluation value, it is determined that the origin feature of the agricultural product is unqualified;

[0099] If the similarity feature evaluation value is greater than or equal to the preset similarity feature evaluation value, it is determined that the origin characteristics of the agricultural product are qualified.

[0100] In the embodiment of the present invention, the preset similarity feature evaluation value is 0.75, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0101] Specifically, the similarity feature evaluation value is the product of the implicit feature similarity and the climate similarity.

[0102] Specifically, the present invention determines whether the origin characteristics of agricultural products are qualified by comparing the similarity feature evaluation value determined jointly by the implicit feature similarity and the climate similarity with the preset similarity feature evaluation value. It can more accurately identify and judge whether the origin characteristics of agricultural products meet the standards, thereby improving the accuracy of traceability of the origin of landmark agricultural products.

[0103] Specifically, the data adjustment module determines to adjust the preset difference evaluation value according to the comparison result of the impact evaluation value of the impact degree ...

[0104] If the impact evaluation value is less than or equal to the preset impact evaluation value, determine to increase the preset difference evaluation value to a corresponding value by a first preset difference adjustment coefficient of 1.03;

[0105] If the impact evaluation value is greater than the preset impact evaluation value, it is determined to increase the preset difference evaluation value to a corresponding value using a second preset difference adjustment coefficient of 1.07.

[0106] In the embodiment of the present invention, the preset impact evaluation value is 0.92, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0107] Specifically, the evaluation value of the impact of production characteristics on agricultural products is the ratio of the average precipitation of the production area of ​​the agricultural product within a preset time to the historical average precipitation multiplied by the ratio of the average precipitation of the production area within the preset time to the historical average temperature, where the preset time is 24 hours.

[0108] In an embodiment of the present invention, the increased preset difference evaluation value is set to Pz, and Pz=P0×Lt is set, wherein P0 represents the preset difference evaluation value, Lt represents the tth preset difference adjustment coefficient, the value of t is 1 or 2, L1 represents the first preset difference adjustment coefficient, and L2 represents the second preset difference adjustment coefficient.

[0109] Specifically, the present invention increases the preset difference evaluation value by comparing the impact evaluation value of origin characteristics on agricultural products with the preset impact evaluation value, and uses different preset difference adjustment coefficients to improve the accuracy of origin traceability.

[0110] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0111] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent evaluation system based on the characteristics of the origin of landmark agricultural products, characterized by: include: A product recognition module, which is used to obtain agricultural product images and determine the types of agricultural products based on the obtained agricultural product images; A data acquisition module connected to the product identification module, for extracting explicit features of agricultural product images or implicit features of agricultural product images based on the difference evaluation values ​​of regional characteristics of agricultural products, wherein the explicit features include the size and shape of the corresponding type of agricultural products, and the implicit features include the texture and surface roughness of the corresponding type of agricultural products; A data analysis module connected to the data acquisition module, for determining an agricultural product image processing method for comparing the agricultural product image with a standard sample image according to the number of explicit features or the number of implicit features corresponding to the agricultural product image, or an agricultural product image processing method jointly determined according to the implicit feature similarity and the climate similarity; An image processing module connected to the data analysis module is used to determine the eligibility of the corresponding agricultural product image processing method according to the explicit feature similarity or the implicit feature similarity under the condition of the corresponding agricultural product image processing method, and to adjust the resolution of the agricultural product image based on the difference between the preset explicit feature similarity and the explicit feature similarity; A data determination module connected to the image processing module for determining the eligibility of the origin characteristics of the agricultural products according to the characteristic evaluation value or the similar characteristic evaluation value, based on the condition that the corresponding agricultural product image processing method is qualified; A data adjustment module is connected to the data determination module and is used to determine and adjust the preset difference evaluation value according to the evaluation value of the degree of influence of the production area characteristics on the agricultural products.

2. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 1 is characterized in that: The data acquisition module determines to extract the dominant features of the agricultural product image based on the comparison result that the difference evaluation value of the regional characteristics of any type of agricultural product is greater than the preset difference evaluation value, and determines to adopt the agricultural product image processing method of comparing the agricultural product image with the standard sample image based on the comparison result that the number of dominant features is less than or equal to the preset number of dominant features.

3. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 2 is characterized in that: The image processing module determines that a processing method of comparing the agricultural product image with the standard sample image is unqualified based on a comparison result that the dominant feature similarity is less than a preset dominant feature similarity, and determines to increase the resolution of the agricultural product image by a first preset resolution adjustment coefficient based on a comparison result that the difference between the preset dominant feature similarity and the dominant feature similarity is less than or equal to the preset difference.

4. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 2 is characterized in that: The image processing module determines that the processing method of comparing the agricultural product image with the standard sample image is unqualified based on the comparison result that the dominant feature similarity is less than the preset dominant feature similarity, and determines to increase the resolution of the agricultural product image by a second preset resolution adjustment coefficient based on the comparison result that the difference between the preset dominant feature similarity and the dominant feature similarity is greater than the preset difference.

5. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 2 is characterized in that: The data determination module determines that the origin characteristics of the agricultural product are qualified based on the comparison result that the dominant feature similarity is greater than or equal to the preset dominant feature similarity and the comparison result that the feature evaluation value is greater than or equal to the preset feature evaluation value.

6. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 1 is characterized in that: The data acquisition module is also used to determine the extraction of implicit features of agricultural product images based on the comparison result that the difference evaluation value of the regional characteristics of agricultural products of any type of agricultural products is less than or equal to the preset difference evaluation value. The data analysis module, under the condition of determining the extraction of implicit features of agricultural product images, determines that the agricultural product image processing method is qualified based on the comparison result that the number of implicit features is less than or equal to the preset number of implicit features and the similarity of implicit features is greater than or equal to the preset similarity of implicit features.

7. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 6 is characterized in that: The data analysis module determines that the processing method is qualified under the condition of extracting the implicit features of the agricultural product images based on the comparison results that the number of implicit features is greater than the preset number of implicit features and the implicit feature similarity is greater than or equal to the preset implicit feature similarity and the climate similarity is greater than or equal to the preset climate similarity.

8. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 7 is characterized in that: The data determination module determines that the origin characteristics of the agricultural product are qualified based on the comparison result that the similarity characteristic evaluation value is greater than or equal to the preset similarity characteristic evaluation value, under the condition that the jointly determined processing method is qualified.

9. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 8 is characterized in that: The data adjustment module determines, under the condition that the origin characteristics of the agricultural product are unqualified, to increase the preset difference evaluation value by the first preset difference adjustment coefficient based on the comparison result that the impact evaluation value of the origin characteristics on the agricultural product is less than or equal to the preset impact evaluation value.

10. The intelligent evaluation system based on the characteristics of the origin of landmark agricultural products according to claim 8, characterized in that: The data adjustment module determines, under the condition that the origin characteristics of the agricultural product are unqualified, to increase the preset difference evaluation value by a second preset difference adjustment coefficient based on the comparison result that the impact evaluation value of the origin characteristics on the agricultural product is greater than the preset impact evaluation value.

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