Method for detecting quality of agricultural products

Abstract

The invention discloses an agricultural product quality detection method, and relates to the technical field of agricultural product quality detection.The method includes the steps of S1, tomato treatment, S2, tomato appearance quality detection and analysis, S3, tomato flavor quality detection and analysis, S4, tomato nutritional ingredient detection and analysis, S5, tomato pesticide residue detection and analysis, S6, tomato comprehensive quality analysis and S7, tomato storage. According to the method, the tomatoes in the batch are subjected to sampling detection according to the set proportion, the appearance quality of the tomatoes is evaluated from the three aspects of volume, hardness and color, the flavor quality of the tomatoes is evaluated from the two aspects of sugar-acid ratio and volatile aromatic substances, and the nutritional ingredients of the tomatoes are evaluated from the two aspects of soluble substances and pH values; finally, pesticide residues are detected, comprehensive quality analysis is conducted on the tomatoes in multiple aspects, and then a proper storage refrigeration house is screened out according to the comprehensive quality of the tomatoes.

Description

Technical Field

[0001] The invention relates to the technical field of agricultural product quality detection, and in particular to a method for agricultural product quality detection. Background Art

[0002] In the context of modern agricultural production pursuing high efficiency, speed and scale, the quality inspection of agricultural products has received great attention. Tomatoes are loved for their special flavor. Traditional destructive testing methods can hardly meet the market's high standards for food safety and quality control. Tomato quality testing provides consumers with clear information about the safety and nutritional value of tomatoes, allowing consumers to eat with confidence, enhancing consumers' trust in products, and improving consumers' satisfaction and loyalty to tomato products. Therefore, it is extremely necessary to conduct quality testing on tomatoes.

[0003] The existing technology for tomato quality detection still has the following defects, which are specifically reflected in:

[0004] 1. The traditional tomato quality appearance inspection process mainly relies on manual observation and evaluation of the volume, hardness and color of tomatoes. Although this method is relatively simple and quick to operate, it has obvious limitations. This detection method is greatly affected by personal experience and ambient light, and is highly dependent on the operator's careful observation. It is difficult to form an objective and unified evaluation standard, so it is not suitable for large-scale commercial testing.

[0005] 2. Traditional tomato quality testing relies heavily on destructive sampling methods, which means that in order to obtain data on various indicators of tomato quality, some tomato samples may be sacrificed for in-depth chemical or physical analysis. This time-consuming and labor-intensive nature of destructive testing methods leads to low efficiency when a large number of samples need to be processed quickly. Summary of the invention

[0006] The purpose of the present invention is to provide a method for detecting the quality of agricultural products, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a method for agricultural product quality detection, characterized in that it includes: S1. Tomato processing: sampling tomatoes in this batch according to a set sampling ratio, and then obtaining each sample tomato.

[0008] S2. Tomato appearance quality detection and analysis: Test each sample tomato to obtain the image and hardness of each sample tomato, and then analyze the appearance quality evaluation index of this batch of tomatoes.

[0009] S3. Tomato flavor quality detection and analysis: The sugar-acid ratio of each sample tomato is obtained through a near-infrared spectrometer, and the content of various types of volatile aromatic substances in each sample tomato is detected through an electronic nose, thereby analyzing the flavor quality evaluation index of this batch of tomatoes.

[0010] S4. Tomato nutritional component detection and analysis: Through near-infrared spectrometer, the content and pH of various types of soluble substances in each sample of tomatoes are obtained, and then the nutritional component evaluation index of this batch of tomatoes is analyzed.

[0011] S5. Detection and analysis of pesticide residues in tomatoes: Through near-infrared spectrometer, the content of various types of pesticide residues is obtained to evaluate the pesticide residue risk factor of this batch of tomatoes.

[0012] S6. Comprehensive quality analysis of tomatoes: Analyze the comprehensive quality evaluation index of this batch of tomatoes based on the appearance quality evaluation index, flavor quality evaluation index, nutritional component evaluation index and pesticide residue risk factor of this batch of tomatoes.

[0013] S7. Tomato storage: Based on the comprehensive quality evaluation index of this batch of tomatoes, select the appropriate cold storage for this batch of tomatoes and store them.

[0014] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the appearance quality evaluation index of the batch of tomatoes is specifically analyzed by the following method:

[0015] According to the volume qualified rate, hardness qualified rate and color qualified rate of this batch of tomatoes, the appearance quality evaluation index of this batch of tomatoes is obtained, and the calculation formula is: Where ρ represents the appearance quality evaluation index of this batch of tomatoes, β represents the volume qualified rate of this batch of tomatoes, It indicates the qualified rate of firmness of tomatoes in this batch, and δ indicates the qualified rate of color of tomatoes in this batch.

[0016] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the volume qualified rate of the batch of tomatoes is analyzed by the following specific method: A1: label each sample tomato as 1, 2, ..., m, ..., z respectively.

[0017] A2: Count the number of sample tomatoes, denoted as z.

[0018] A3: The images of each sample tomato are processed by computer vision to obtain the volume of each sample tomato.

[0019] A4: Analyze the volume ratio of each sample of tomatoes, and the calculation formula is: where α m represents the volume ratio of the mth sample tomato, V mRepresents the volume of the mth sample tomato.

[0020] A5: Compare the volume ratio coefficient of each sample tomato with the volume ratio coefficient range stored in the database. If the volume ratio coefficient of a sample tomato is not within the volume ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in volume. The sample tomatoes with unqualified volumes are obtained, and the number of sample tomatoes with unqualified volumes is counted, recorded as z′. The volume qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where β represents the qualified volume rate of tomatoes in this batch.

[0021] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the specific analysis method for the qualified rate of hardness of the batch of tomatoes is as follows: B1: using a pressure sensor to detect each sample tomato to obtain the hardness of each sample tomato.

[0022] B2: Analyze the hardness ratio of each sample tomato, and the calculation formula is: where τ m represents the hardness ratio of the mth sample tomato, N m Indicates the hardness of the mth sample tomato.

[0023] B3: Compare the hardness ratio coefficient of each sample tomato with the hardness ratio coefficient range stored in the database. If the hardness ratio coefficient of a sample tomato is not within the hardness ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in hardness. The sample tomatoes with unqualified hardness are obtained, and the number of sample tomatoes with unqualified hardness is counted, recorded as z″. The hardness qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: in Indicates the hardness pass rate of this batch of tomatoes.

[0024] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the specific analysis method for the color pass rate of the batch of tomatoes is as follows: C1: obtaining the chromaticity value of each sample tomato based on the image of each sample tomato.

[0025] C2: Compare the chromaticity value of each sample tomato with the tomato chromaticity value range stored in the database. If the chromaticity value of a sample tomato is not within the tomato chromaticity value range stored in the database, the sample tomato is judged to be unqualified in color. The sample tomatoes with unqualified color are obtained, and the number of sample tomatoes with unqualified color is counted, recorded as z″′. The color qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where δ represents the color pass rate of this batch of tomatoes.

[0026] As a preferred solution, the method for agricultural product quality detection is characterized in that the flavor quality evaluation index of the batch of tomatoes is specifically analyzed by the following method: D1: According to the sugar-acid ratio of each sample tomato, the maximum and minimum values ​​of the sugar-acid ratio in the sample tomatoes are screened out, and the suitable coefficient of the sugar-acid ratio of the sample tomatoes in the batch is obtained by analysis in combination with the standard sugar-acid ratio of tomatoes stored in the database. The calculation formula is: Where ε represents the suitability coefficient of the sugar-acid ratio of this batch of tomatoes, s max Indicates the maximum value of the sugar-acid ratio in the sample tomato, s min Indicates the minimum value of the sugar-acid ratio in the sample tomato, s m represents the sugar-acid ratio of the mth sample tomato, and s′ represents the standard sugar-acid ratio of tomatoes stored in the database.

[0027] D2: Label the various types of volatile aromatic substances in the sample tomatoes as 1, 2, ..., i, ... x.

[0028] D3: According to the content of various types of volatile aromatic substances in each sample tomato, the maximum and minimum values ​​of the content of various types of volatile aromatic substances in the sample tomatoes are screened out, and combined with the standard values ​​of the content of various types of volatile aromatic substances stored in the database, the appropriate coefficient of the volatile aromatic substances of the sample tomatoes in this batch is obtained. The calculation formula is: Where φ represents the suitability coefficient of volatile aromatic substances in this batch of tomatoes, represents the maximum value of the content of the i-th volatile aromatic substance in the sample tomato, represents the minimum value of the content of the i-th volatile aromatic substance in the sample tomato, a mi represents the content of the i-th volatile aromatic substance in the m-th sample tomato, a i ′ represents the standard value of the content of the i-th volatile aromatic substance stored in the database, and x represents the number of types of tomato volatile aromatic substances;

[0029] D4: Based on the appropriate coefficient of the sugar-acid ratio of this batch of tomatoes and the appropriate coefficient of the volatile aromatic substances of this batch of tomatoes, the flavor quality evaluation index of this batch of tomatoes is obtained. The calculation formula is ω = e ε +e φ , where ω represents the flavor quality evaluation index of this batch of tomatoes.

[0030] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the nutritional component evaluation index of the batch of tomatoes is specifically analyzed by the following method: E1: various types of soluble substances in the sample tomatoes are labeled 1, 2, ..., w, ..., y respectively.

[0031] E2: According to the content of various types of soluble substances in each sample tomato, the maximum and minimum values ​​of the content of various types of soluble substances in the sample tomatoes are screened out. Combined with the standard values ​​of the content of various types of soluble substances stored in the database, the appropriate coefficient of the soluble substances of the sample tomatoes in this batch is obtained. The calculation formula is: Where φ represents the suitability coefficient of soluble matter in this batch of tomatoes, represents the maximum value of the content of the wth soluble substance in the sample tomato, represents the minimum value of the content of the wth soluble substance in the sample tomato, b mw represents the content of the wth soluble substance in the mth tomato sample, b′ w represents the standard value of the content of the wth soluble substance stored in the database, and y represents the number of types of tomato soluble substances.

[0032] E3: According to the pH value of each sample tomato, the maximum and minimum pH values ​​of the sample tomatoes are screened out, and combined with the standard pH value of tomatoes stored in the database, the pH value of the sample tomatoes in this batch is analyzed to obtain the pH value suitability coefficient. The calculation formula is: Where λ represents the pH suitability coefficient of this batch of tomatoes, d max Indicates the maximum pH value in the sample tomato, d min Indicates the minimum pH value in the sample tomato, d m represents the pH value of the mth sample tomato, and d′ represents the standard pH value of tomatoes stored in the database.

[0033] E4: Based on the suitable coefficient of soluble matter and pH of this batch of tomatoes, the nutritional evaluation index of the sample tomatoes in this batch is obtained. The calculation formula is: Where θ represents the nutritional evaluation index of this batch of tomatoes.

[0034] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the pesticide residue risk coefficient of the batch of tomatoes is specifically analyzed by the following method:

[0035] The content of various types of pesticide residues in each sample tomato is compared with the threshold value of various types of pesticide residues in tomatoes stored in the database. If the content of a certain type of pesticide residue in a certain tomato is higher than the threshold value of the pesticide residue of the type stored in the database, the sample tomato is judged to be unqualified for pesticide residues, and the sample tomatoes with unqualified pesticide residues are obtained. The number of sample tomatoes with unqualified pesticide residues is counted and recorded as c. The pesticide residue risk coefficient of this batch of sample tomatoes is obtained by analysis. The calculation formula is: Where η represents the pesticide residue risk coefficient of this batch of tomatoes.

[0036] As a preferred solution, the method for detecting agricultural product quality is characterized in that the tomato comprehensive quality evaluation index is specifically analyzed by:

[0037] According to the appearance quality evaluation index, flavor quality evaluation index, nutritional evaluation index and pesticide residue risk coefficient of this batch of tomatoes, the comprehensive quality evaluation index of this batch of tomatoes is obtained, and the calculation formula is ψ=ρ+ω+θ-e η , where ψ represents the comprehensive quality evaluation index of this batch of tomatoes.

[0038] As a preferred solution, the method for detecting the quality of agricultural products is characterized in that the screening of suitable cold storage is performed by the following specific analysis method:

[0039] Obtain the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, compare the comprehensive quality evaluation index of this batch of tomatoes with the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, screen the cold storage corresponding to this batch of tomatoes, and use it as the suitable storage cold storage corresponding to this batch of tomatoes.

[0040] The beneficial effects of the present invention are:

[0041] 1. The present invention uses camera and sensor technology to detect tomatoes, processes and analyzes the collected data, and thus obtains objective quantitative results on the volume, hardness and color of tomatoes, ensuring the consistency of evaluation standards and eliminating judgment bias caused by differences in personal experience. The present invention is suitable for large-scale commercial testing.

[0042] 2. The present invention uses infrared camera technology to detect tomato quality, and obtains indicators such as the sugar-acid ratio, pH, volatile aromatic substances, soluble substances and pesticide residues of tomatoes without damaging the tomatoes. This technology not only ensures the accuracy of the test, but also ensures the non-destructiveness of the detection process. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Reference Figure 1 As shown, the present invention provides a method for detecting the quality of agricultural products, including: S1. Tomato processing: sampling tomatoes in this batch according to a set sampling ratio, and then obtaining sample tomatoes.

[0047] S2. Tomato appearance quality detection and analysis: Test each sample tomato to obtain the image and hardness of each sample tomato, and then analyze the appearance quality evaluation index of this batch of tomatoes.

[0048] In a specific embodiment, the appearance quality evaluation index of the batch of tomatoes is analyzed by the following specific method:

[0049] According to the qualified rate of volume, hardness and color of this batch of tomatoes, the appearance quality evaluation index of this batch of tomatoes is obtained, and the calculation formula is: Where ρ represents the appearance quality evaluation index of this batch of tomatoes, β represents the volume qualified rate of this batch of tomatoes, It indicates the qualified rate of firmness of tomatoes in this batch, and δ indicates the qualified rate of color of tomatoes in this batch.

[0050] In a specific embodiment, the method for detecting the quality of agricultural products is characterized in that the specific analysis method for the qualified volume rate of the batch of tomatoes is as follows: A1: label each sample tomato as 1, 2, ..., m, ..., z respectively.

[0051] A2: Count the number of sample tomatoes, denoted as z.

[0052] A3: The images of each sample tomato are processed by computer vision to obtain the volume of each sample tomato.

[0053] A4: Analyze the volume ratio of each sample of tomatoes, and the calculation formula is: where α m represents the volume ratio of the mth sample tomato, V m Represents the volume of the mth sample tomato.

[0054] A5: Compare the volume ratio coefficient of each sample tomato with the volume ratio coefficient range stored in the database. If the volume ratio coefficient of a sample tomato is not within the volume ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in volume. The sample tomatoes with unqualified volumes are obtained, and the number of sample tomatoes with unqualified volumes is counted, recorded as z′. The volume qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where β represents the qualified volume rate of tomatoes in this batch.

[0055] In a specific embodiment, the method for detecting the quality of agricultural products is characterized in that the specific analysis method for the qualified rate of hardness of the batch of tomatoes is as follows: B1: using a pressure sensor to detect each sample tomato to obtain the hardness of each sample tomato.

[0056] B2: Analyze the hardness ratio of each sample tomato, and the calculation formula is: where τ m represents the hardness ratio of the mth sample tomato, N m Indicates the hardness of the mth sample tomato.

[0057] B3: Compare the hardness ratio coefficient of each sample tomato with the hardness ratio coefficient range stored in the database. If the hardness ratio coefficient of a sample tomato is not within the hardness ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in hardness. The sample tomatoes with unqualified hardness are obtained, and the number of sample tomatoes with unqualified hardness is counted, recorded as z″. The hardness qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: in Indicates the hardness pass rate of this batch of tomatoes.

[0058] In a specific embodiment, the method for detecting the quality of agricultural products is characterized in that the color pass rate of the batch of tomatoes is analyzed by the following specific method: C1: obtaining the chromaticity value of each sample tomato based on the image of each sample tomato.

[0059] C2: Compare the chromaticity value of each sample tomato with the tomato chromaticity value range stored in the database. If the chromaticity value of a sample tomato is not within the tomato chromaticity value range stored in the database, the sample tomato is judged to be unqualified in color. The sample tomatoes with unqualified color are obtained, and the number of sample tomatoes with unqualified color is counted, recorded as z″′. The color qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where δ represents the color pass rate of this batch of tomatoes.

[0060] The present invention uses camera and sensor technology to detect tomatoes, and can process and analyze the collected data to obtain objective quantitative results on the volume, hardness and color of tomatoes, thereby ensuring the consistency of evaluation standards and eliminating judgment bias caused by differences in personal experience. The invention is suitable for large-scale commercial testing.

[0061] S3. Tomato flavor quality detection and analysis: The sugar-acid ratio of each sample tomato is obtained through a near-infrared spectrometer, and the content of each volatile aromatic substance in each sample tomato is detected through an electronic nose, and then the flavor quality evaluation index of this batch of tomatoes is analyzed.

[0062] In a specific embodiment, the flavor quality evaluation index of the batch of tomatoes is specifically analyzed by the following method: D1: According to the sugar-acid ratio of each sample tomato, the maximum and minimum values ​​of the sugar-acid ratio in the sample tomatoes are screened out, and the appropriate coefficient of the sugar-acid ratio of the sample tomatoes in the batch is obtained by analysis in combination with the standard sugar-acid ratio of tomatoes stored in the database. The calculation formula is: Where ε represents the suitability coefficient of the sugar-acid ratio of this batch of tomatoes, s max Indicates the maximum value of the sugar-acid ratio in the sample tomato, s min Indicates the minimum value of the sugar-acid ratio in the sample tomato, s m represents the sugar-acid ratio of the mth sample tomato, and s′ represents the standard sugar-acid ratio of tomatoes stored in the database.

[0063] D2: Label the various types of volatile aromatic substances in the sample tomatoes as 1, 2, ..., i, ... x.

[0064] It should be noted that the various types of volatile aromatic substances in tomatoes mainly include hexanal, cis-3-hexenal and trans-2-hexenal. Abnormal contents of various types of volatile aromatic substances in tomatoes will lead to a decline in tomato quality and changes in flavor.

[0065] D3: According to the content of various types of volatile aromatic substances in each sample tomato, the maximum and minimum values ​​of the content of various types of volatile aromatic substances in the sample tomatoes are screened out, and combined with the standard values ​​of the content of various types of volatile aromatic substances stored in the database, the appropriate coefficient of the volatile aromatic substances of the sample tomatoes in this batch is obtained. The calculation formula is: Where φ represents the suitability coefficient of volatile aromatic substances in this batch of tomatoes, represents the maximum value of the content of the i-th volatile aromatic substance in the sample tomato, represents the minimum value of the content of the i-th volatile aromatic substance in the sample tomato, a mi represents the content of the i-th volatile aromatic substance in the m-th sample tomato, a i′ represents the standard value of the content of the i-th volatile aromatic substance stored in the database, and x represents the number of types of tomato volatile aromatic substances.

[0066] D4: Based on the appropriate coefficient of the sugar-acid ratio of this batch of tomatoes and the appropriate coefficient of the volatile aromatic substances of this batch of tomatoes, the flavor quality evaluation index of this batch of sample tomatoes is obtained. The calculation formula is ω = e ε +e φ , where ω represents the flavor quality evaluation index of this batch of tomatoes.

[0067] S4. Tomato nutritional component detection and analysis: Through near-infrared spectrometer, the soluble substance content and pH value of each sample tomato are obtained, and then the nutritional component evaluation index of this batch of tomatoes is analyzed.

[0068] In a specific embodiment, the nutritional component evaluation index of the batch of tomatoes is analyzed by the following specific method: E1: various types of soluble substances in the sample tomatoes are labeled as 1, 2, ..., w, ..., y respectively.

[0069] It should be noted that the various types of soluble substances in tomatoes include soluble sugars, organic acids and vitamin C. When the content of soluble sugars and organic acids in tomatoes is abnormal, the taste of tomatoes is poor and the nutritional value is reduced.

[0070] E2: According to the content of various types of soluble substances in each sample tomato, the maximum and minimum values ​​of the content of various types of soluble substances in the sample tomatoes are screened out. Combined with the standard values ​​of the content of various types of soluble substances stored in the database, the appropriate coefficient of the soluble substances of the sample tomatoes in this batch is obtained. The calculation formula is: Where φ represents the suitability coefficient of soluble matter in this batch of tomatoes, represents the maximum value of the content of the wth soluble substance in the sample tomato, represents the minimum value of the content of the wth soluble substance in the sample tomato, b mw represents the content of the wth soluble substance in the mth tomato sample, b′ w represents the standard value of the content of the wth soluble substance stored in the database, and y represents the number of types of tomato soluble substances.

[0071] E3: According to the pH value of each sample tomato, the maximum and minimum pH values ​​of the sample tomatoes are screened out, and combined with the standard pH value of tomatoes stored in the database, the pH value of the sample tomatoes in this batch is analyzed to obtain the pH value suitability coefficient. The calculation formula is: Where λ represents the pH suitability coefficient of this batch of tomatoes, d max Indicates the maximum pH value in the sample tomato, d min Indicates the minimum pH value in the sample tomato, dm represents the pH value of the mth sample tomato, and d′ represents the standard pH value of tomatoes stored in the database.

[0072] E4: According to the suitable coefficient of soluble matter and pH of this batch of tomatoes, the nutritional evaluation index of this batch of tomatoes is obtained. The calculation formula is: Where θ represents the nutritional evaluation index of this batch of tomatoes.

[0073] S5. Detection and analysis of pesticide residues in tomatoes: The content of each pesticide residue is detected by near-infrared spectrometer to evaluate the pesticide residue risk factor of this batch of tomatoes.

[0074] In a specific embodiment, the pesticide residue risk coefficient of the batch of tomatoes is specifically analyzed by the following method:

[0075] The content of various types of pesticide residues in each sample tomato is compared with the threshold value of various types of pesticide residues in tomatoes stored in the database. If the content of a certain type of pesticide residue in a certain tomato is higher than the threshold value of the pesticide residue of the type stored in the database, the sample tomato is judged to be unqualified for pesticide residues, and the sample tomatoes with unqualified pesticide residues are obtained. The number of sample tomatoes with unqualified pesticide residues is counted and recorded as c. The pesticide residue risk coefficient of this batch of sample tomatoes is obtained by analysis. The calculation formula is: Where η represents the pesticide residue risk coefficient of this batch of tomatoes.

[0076] It should be noted that the pesticide residues in tomatoes mainly include bifenthrin, dimethoate and malathion, which are widely used in the cultivation of tomatoes to protect crops from pests and diseases. Excessive pesticide residues in tomatoes can cause harm to human health, such as acute poisoning.

[0077] The present invention uses infrared camera technology to detect tomato quality, and obtains indicators such as the sugar-acid ratio, pH, volatile aromatic substances, soluble substances and pesticide residues of tomatoes without damaging the tomatoes. This technology not only ensures the accuracy of the test, but also ensures the non-destructiveness of the detection process.

[0078] S6. Comprehensive quality analysis of tomatoes: Analyze the comprehensive quality evaluation index of this batch of tomatoes based on the appearance quality evaluation index, flavor quality evaluation index, nutritional component evaluation index and pesticide residue risk factor of this batch of tomatoes.

[0079] In a specific embodiment, the tomato comprehensive quality evaluation index is specifically analyzed by: according to the appearance quality evaluation index, flavor quality evaluation index, nutrient evaluation index and pesticide residue risk coefficient of this batch of tomatoes, the comprehensive quality evaluation index of this batch of tomatoes is obtained, and the calculation formula is ψ=ρ+ω+θ-e η , where ψ represents the comprehensive quality evaluation index of this batch of tomatoes.

[0080] S7. Tomato storage: Based on the comprehensive quality evaluation index of this batch of tomatoes, select the appropriate cold storage for this batch of tomatoes and store them.

[0081] In a specific embodiment, the screening of suitable cold storage storage is performed by a specific analysis method:

[0082] Obtain the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, compare the comprehensive quality evaluation index of this batch of tomatoes with the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, screen the cold storage corresponding to this batch of tomatoes, and use it as the suitable storage cold storage corresponding to this batch of tomatoes.

[0083] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for detecting the quality of agricultural products, characterized in that: include: S1. Tomato processing: sampling tomatoes in this batch according to the set sampling ratio, and then obtaining each sample tomato; S2. Tomato appearance quality detection and analysis: Detect each sample tomato to obtain the image and hardness of each sample tomato, and then analyze the appearance quality evaluation index of this batch of tomatoes; S3. Tomato flavor quality detection and analysis: The sugar-acid ratio of each sample tomato is obtained by near-infrared spectrometer, and the content of various types of volatile aromatic substances in each sample tomato is detected by electronic nose, and then the flavor quality evaluation index of this batch of tomatoes is analyzed; S4. Tomato nutritional component detection and analysis: The content and pH value of various types of soluble substances in each sample of tomatoes are obtained by near-infrared spectrometer, and then the nutritional component evaluation index of this batch of tomatoes is analyzed; S5. Tomato pesticide residue detection and analysis: Through near-infrared spectrometer, the content of various types of pesticide residues is obtained to evaluate the pesticide residue risk factor of this batch of tomatoes; S6. Comprehensive quality analysis of tomatoes: Analyze the comprehensive quality evaluation index of this batch of tomatoes based on the appearance quality evaluation index, flavor quality evaluation index, nutritional component evaluation index and pesticide residue risk factor of this batch of tomatoes; S7. Tomato storage: Based on the comprehensive quality evaluation index of this batch of tomatoes, select the appropriate cold storage for this batch of tomatoes and store them.

2. A method for detecting agricultural product quality according to claim 1, characterized in that: The specific analysis method of the appearance quality evaluation index of this batch of tomatoes is as follows: According to the image and hardness of each sample tomato, the volume qualified rate, hardness qualified rate and color qualified rate of this batch of tomatoes were analyzed to obtain the appearance quality evaluation index of this batch of tomatoes. The calculation formula is: Where ρ represents the appearance quality evaluation index of this batch of tomatoes, β represents the volume qualified rate of this batch of tomatoes, It indicates the qualified rate of firmness of this batch of tomatoes, and δ indicates the qualified rate of color of this batch of tomatoes.

3. A method for detecting agricultural product quality according to claim 2, characterized in that: The specific analysis method for the volume qualified rate of this batch of tomatoes is as follows: A1: Label each sample tomato as 1, 2, ..., m, ..., z; A2: Count the number of sample tomatoes, denoted as z; A3: Process the image of each sample tomato through computer vision to obtain the volume of each sample tomato; A4: Analyze the volume ratio of each sample of tomatoes, and the calculation formula is: where α m represents the volume ratio of the mth sample tomato, V m represents the volume of the mth sample tomato; A5: Compare the volume ratio coefficient of each sample tomato with the volume ratio coefficient range stored in the database. If the volume ratio coefficient of a sample tomato is not within the volume ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in volume. The sample tomatoes with unqualified volumes are obtained, and the number of sample tomatoes with unqualified volumes is counted, recorded as z′. The volume qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where β represents the qualified volume rate of tomatoes in this batch.

4. A method for detecting agricultural product quality according to claim 3, characterized in that: The specific analysis method for the qualified rate of firmness of this batch of tomatoes is as follows: B1: Use a pressure sensor to test each sample tomato to obtain the hardness of each sample tomato; B2: Analyze the hardness ratio of each sample tomato, and the calculation formula is: where τ m represents the hardness ratio of the mth sample tomato, N m represents the hardness of the mth sample tomato; B3: Compare the hardness ratio coefficient of each sample tomato with the hardness ratio coefficient range stored in the database. If the hardness ratio coefficient of a sample tomato is not within the hardness ratio coefficient range stored in the database, the sample tomato is judged to be unqualified in hardness. The sample tomatoes with unqualified hardness are obtained, and the number of sample tomatoes with unqualified hardness is counted, recorded as z″. The hardness qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: in Indicates the hardness pass rate of this batch of tomatoes.

5. A method for detecting agricultural product quality according to claim 2, characterized in that: The specific analysis method for the color pass rate of this batch of tomatoes is as follows: C1: Obtain the chromaticity value of each sample tomato according to the image of each sample tomato; C2: Compare the chromaticity value of each sample tomato with the tomato chromaticity value range stored in the database. If the chromaticity value of a sample tomato is not within the tomato chromaticity value range stored in the database, the sample tomato is judged to be unqualified in color. The sample tomatoes with unqualified color are obtained, and the number of sample tomatoes with unqualified color is counted, recorded as z″′. The color qualified rate of the sample tomatoes in this batch is obtained by analysis. The calculation formula is: Where δ represents the color pass rate of this batch of tomatoes.

6. A method for detecting agricultural product quality according to claim 1, characterized in that: The specific analysis method of the flavor quality evaluation index of this batch of tomatoes is as follows: D1: According to the sugar-acid ratio of each sample tomato, the maximum and minimum values ​​of the sugar-acid ratio in the sample tomatoes are screened out. Combined with the standard sugar-acid ratio of tomatoes stored in the database, the appropriate coefficient of the sugar-acid ratio of the sample tomatoes in this batch is analyzed and calculated using the formula: Where ε represents the suitability coefficient of the sugar-acid ratio of this batch of tomatoes, s max Indicates the maximum value of the sugar-acid ratio in the sample tomato, s min Indicates the minimum value of the sugar-acid ratio in the sample tomato, s m represents the sugar-acid ratio of the mth sample tomato, and s′ represents the standard sugar-acid ratio of tomatoes stored in the database; D2: Label the various types of volatile aromatic substances in the sample tomatoes as 1, 2, ..., i, ... x; D3: According to the content of various types of volatile aromatic substances in each sample tomato, the maximum and minimum values ​​of the content of various types of volatile aromatic substances in the sample tomatoes are screened out, and combined with the standard values ​​of the content of various types of volatile aromatic substances stored in the database, the appropriate coefficient of the volatile aromatic substances of the sample tomatoes in this batch is obtained. The calculation formula is: Where φ represents the suitability coefficient of volatile aromatic substances in this batch of tomatoes, represents the maximum value of the content of the i-th volatile aromatic substance in the sample tomato, represents the minimum value of the content of the i-th volatile aromatic substance in the sample tomato, a mi represents the content of the i-th volatile aromatic substance in the m-th sample tomato, a i ′ represents the standard value of the content of the i-th volatile aromatic substance stored in the database, and x represents the number of types of tomato volatile aromatic substances; D4: Based on the appropriate coefficient of the sugar-acid ratio of this batch of tomatoes and the appropriate coefficient of the volatile aromatic substances of this batch of tomatoes, the flavor quality evaluation index of this batch of tomatoes is obtained. The calculation formula is ω = e ε +e φ , where ω represents the flavor quality evaluation index of this batch of tomatoes.

7. A method for detecting agricultural product quality according to claim 1, characterized in that: The specific analysis method of the nutritional evaluation index of this batch of tomatoes is as follows: E1: Label the various types of soluble substances in the sample tomatoes as 1, 2, ..., w, ..., y; E2: According to the content of various types of soluble substances in each sample tomato, the maximum and minimum values ​​of the content of various types of soluble substances in the sample tomatoes are screened out. Combined with the standard values ​​of the content of various types of soluble substances stored in the database, the appropriate coefficient of the soluble substances in this batch of sample tomatoes is obtained. The calculation formula is: Where φ represents the suitability coefficient of soluble matter in this batch of tomatoes, represents the maximum value of the content of the wth soluble substance in the sample tomato, represents the minimum value of the content of the wth soluble substance in the sample tomato, b mw represents the content of the wth soluble substance in the mth tomato sample, b′ w represents the standard value of the content of the wth soluble substance stored in the database, and y represents the number of types of tomato soluble substances; E3: According to the pH value of each sample tomato, the maximum and minimum pH values ​​of the sample tomatoes are screened out, and combined with the standard pH value of tomatoes stored in the database, the pH value of the sample tomatoes in this batch is analyzed to obtain the pH value suitability coefficient. The calculation formula is: Where λ represents the pH suitability coefficient of this batch of tomatoes, d max Indicates the maximum pH value in the sample tomato, d min Indicates the minimum pH value in the sample tomato, d m represents the pH value of the mth sample tomato, and d′ represents the standard pH value of tomatoes stored in the database; E4: According to the suitable coefficient of soluble matter and pH of this batch of tomatoes, the nutritional evaluation index of this batch of tomatoes is obtained. The calculation formula is: Where θ represents the nutritional evaluation index of this batch of tomatoes.

8. A method for detecting agricultural product quality according to claim 3, characterized in that: The specific analysis method for the pesticide residue risk coefficient of this batch of tomatoes is as follows: The content of various types of pesticide residues in each sample tomato is compared with the threshold value of various types of pesticide residues in tomatoes stored in the database. If the content of a certain type of pesticide residue in a certain tomato is higher than the threshold value of the pesticide residue of the type stored in the database, the sample tomato is judged to be unqualified for pesticide residues, and the sample tomatoes with unqualified pesticide residues are obtained. The number of sample tomatoes with unqualified pesticide residues is counted and recorded as c. The pesticide residue risk coefficient of this batch of sample tomatoes is obtained by analysis. The calculation formula is: Where η represents the pesticide residue risk factor of this batch of tomatoes.

9. A method for detecting agricultural product quality according to claim 1, characterized in that: The specific analysis method of the comprehensive quality evaluation index of this batch of tomatoes is as follows: According to the appearance quality evaluation index, flavor quality evaluation index, nutritional evaluation index and pesticide residue risk coefficient of this batch of tomatoes, the comprehensive quality evaluation index of this batch of tomatoes is obtained, and the calculation formula is ψ=ρ+ω+θ-e η , where ψ represents the comprehensive quality evaluation index of this batch of tomatoes.

10. A method for detecting agricultural product quality according to claim 1, characterized in that: The specific analysis method for screening suitable cold storage is as follows: Obtain the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, compare the comprehensive quality evaluation index of this batch of tomatoes with the range of comprehensive quality evaluation indexes of tomatoes corresponding to each cold storage, screen the cold storage corresponding to this batch of tomatoes, and use it as the suitable storage cold storage corresponding to this batch of tomatoes.

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