Pesticide residue detection system and method

Abstract

The invention discloses a pesticide residue detection system and method, and relates to the technical field of pesticide residue detection.The system comprises a product preliminary screening module, a product detection module, a product detection analysis module, an early warning terminal and a database. And analyzing the quality state corresponding to each target agricultural product, and analyzing the pesticide residue result corresponding to each problem agricultural product based on the analyzed quality state, so as to carry out targeted analysis under result rating to obtain the result under each analysis, thereby realizing the omnibearing residue detection of the pesticide corresponding to the agricultural product. The food safety of agricultural products is comprehensively guaranteed, the pesticide residue harm of the agricultural products is effectively reduced, economic losses caused by severe pesticide residues of the agricultural products are reduced laterally, and meanwhile efficient and accurate detection of the pesticide residues corresponding to the agricultural products is achieved so that targeted measures can be taken in time.

Description

Technical Field

[0001] This invention relates to the field of pesticide residue detection technology, and specifically to a pesticide residue detection system and method. Background Technology

[0002] With the widespread use of pesticides in agriculture, a pesticide residue detection system and method are proposed to effectively ensure food safety. By continuously and progressively conducting pesticide residue detection on agricultural products, comprehensive safety assurance for agricultural products can be achieved, avoiding oversights in pesticide residue detection and increasing food consumption risks. At the same time, based on professional pesticide detection equipment, efficient and accurate monitoring of corresponding pesticides in agricultural products can be achieved, enabling intelligent and effective prevention.

[0003] Existing technologies, such as the pesticide residue detection system disclosed in patent application CN111965124B, aim to solve the technical problems of existing technologies where pesticide residue detection in food is all done manually, resulting in complex operation steps, high time and labor costs, low work efficiency, and high labor costs. This invention includes, from top to bottom, a rinsing unit, a reaction unit, a detection unit, and a waste liquid discharge unit. The rinsing unit includes an electronic scale, a first drive motor, a washing tank, a washing basket, a washing liquid tank, and a water tank. The first drive motor is mounted on the electronic scale, the washing tank is connected to the first drive motor body, the washing basket is fitted inside the washing tank and connected to the output shaft of the first drive motor, the washing tank and the washing liquid tank are bidirectionally connected, and the water tank is connected to both the washing liquid tank and the reaction unit. The reaction unit is used to perform a reagent reaction on the pesticide residue solution in the washing liquid tank, and the detection unit is used to detect the reaction solution after the reagent reaction. The waste liquid discharge unit is used for waste liquid treatment and discharge.

[0004] The above-mentioned solutions have the following technical problems: The invention primarily addresses the issue that existing technologies rely on manual operation for pesticide residue detection in food. This manual operation is inefficient and costly, fails to conduct pre-sale health checks on agricultural products, and does not obtain intuitive data for each target agricultural product. Consequently, it cannot analyze the quality status of each target agricultural product, clearly categorize and classify agricultural products based on their quality analysis results, adds cumbersome testing steps, fails to perform corresponding tests on problematic agricultural products, cannot obtain corresponding test data for each problematic agricultural product, cannot analyze the pesticide residue results for each problematic agricultural product, cannot determine the pesticide residue level of the current problematic agricultural product, and cannot use the pesticide residue level as a benchmark for targeted analysis. It cannot provide comprehensive analysis and detection of pesticide residues in agricultural products, posing a risk of incomplete pesticide residue detection and failing to effectively guarantee the food safety of agricultural products. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a pesticide residue detection system and method.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a pesticide residue detection system, including: a product preliminary screening module, used to perform pre-sale health testing on agricultural products to obtain intuitive data corresponding to each target agricultural product, and then analyze the quality status of each target agricultural product.

[0007] The product testing module is used to conduct corresponding tests on each problematic agricultural product, thereby obtaining the corresponding test data for each problematic agricultural product, and then analyzing the pesticide residue results for each problematic agricultural product.

[0008] The product testing and analysis module is used to analyze the basic information corresponding to each lightly polluted agricultural product, and then to obtain the corresponding removal measures for each lightly polluted agricultural product, and evaluate the effectiveness of the removal measures for each lightly polluted agricultural product. At the same time, it conducts comprehensive pesticide testing on agricultural products from the same production area corresponding to each heavily polluted agricultural product, and obtains the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product.

[0009] The early warning terminal is used to issue early warnings when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product exceed the standard.

[0010] In a second aspect, the present invention provides a pesticide residue detection system method, comprising: Step 1, preliminary product screening: performing pre-sale health testing on agricultural products to obtain intuitive data corresponding to each target agricultural product, and then analyzing the quality status of each target agricultural product.

[0011] Step 2, Product Testing Module: Conduct corresponding tests on each problematic agricultural product to obtain the corresponding test data, and then analyze the pesticide residue results for each problematic agricultural product.

[0012] Step 3: Product Testing and Analysis: Based on the basic information corresponding to each lightly polluted agricultural product, the corresponding removal measures are analyzed and the effectiveness of the removal measures is evaluated. At the same time, comprehensive pesticide testing is carried out on agricultural products from the same production area corresponding to each heavily polluted agricultural product to obtain the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product.

[0013] Step 4: Early Warning Prompt: An early warning prompt will be issued when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product are abnormal.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention provides a pesticide residue detection system and method. By performing pre-sale health tests on agricultural products, the quality status of each target agricultural product is analyzed. Based on the analyzed quality status, the pesticide residue results of each problematic agricultural product are analyzed, and targeted analyses are performed under the result rating to obtain the results of each analysis. This achieves comprehensive pesticide residue detection of agricultural products, fully protects the food safety of agricultural products, effectively reduces the harm of pesticide residues in agricultural products, and indirectly reduces the economic losses caused by severe pesticide residues in agricultural products. At the same time, based on professional pesticide detection equipment, it can achieve efficient and accurate detection of pesticide residues in agricultural products, intelligently improve the efficiency and accuracy of pesticide residue detection, so as to take targeted measures in a timely manner and achieve timely and accurate traceability maintenance.

[0015] 2. Conduct pre-sale health tests on agricultural products to analyze their quality status, thereby clearly defining the target agricultural products, reducing pesticide residue testing steps, and avoiding repetitive and cumbersome operations.

[0016] 3. Conduct corresponding tests on each problematic agricultural product to obtain the corresponding test data, and then analyze the pesticide residue results for each problematic agricultural product. This will enable efficient assessment of pesticide residue levels in agricultural products, providing a clear analytical direction for subsequent pesticide residue analysis and improving the efficiency of pesticide residue detection and analysis in agricultural products.

[0017] 4. Based on the basic information corresponding to each lightly polluted agricultural product, we analyze and derive the corresponding removal measures, and evaluate the effectiveness of these measures. Simultaneously, we conduct comprehensive pesticide testing on agricultural products from the same production area corresponding to each heavily polluted agricultural product, obtaining the test results. This comprehensively ensures the safety of agricultural products for consumption, effectively reduces the harm of pesticide residues, and indirectly reduces the economic losses caused by heavy pesticide residues in agricultural products. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0020] Figure 2 This is a schematic diagram of the implementation steps of the method of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Please see Figure 1 As shown, a pesticide residue detection system includes a preliminary product screening module, a product testing module, a product testing and analysis module, an early warning terminal, and a database.

[0023] The preliminary product screening module is connected to the product testing module, the database, and the early warning terminal. The product testing module is connected to the product testing and analysis module, the database, and the early warning terminal. The product testing and analysis module is connected to the early warning terminal and the database.

[0024] The preliminary product screening module is used to perform pre-sale health testing on agricultural products, obtain intuitive data for each target agricultural product, and then analyze the quality status of each target agricultural product.

[0025] Pre-sale health testing is performed on agricultural products to analyze their quality status, thereby enabling clear categorization of agricultural products, reducing pesticide residue testing steps, and avoiding repetitive and cumbersome procedures.

[0026] It should be noted that the appearance data includes color brightness and the number of spots; the texture data includes the number of nodular protrusions and the texture hardness; the product images of each target agricultural product are obtained by taking pictures with a camera, and then the color brightness, the number of spots and the number of nodular protrusions of each target agricultural product are extracted from the product images; the hardness of each target agricultural product is obtained by using a hardness tester.

[0027] As an alternative implementation, the analytical data includes appearance data and texture data.

[0028] As an optional implementation, the analysis obtains the quality status of each target agricultural product. The specific analysis process is as follows: The intuitive data corresponding to each target agricultural product is compared with the standard intuitive data threshold range of agricultural products stored in the database. If the intuitive data corresponding to a target agricultural product is within the standard intuitive data threshold range of agricultural products stored in the database, the quality status of the target agricultural product is determined to be normal. If the intuitive data corresponding to a target agricultural product is not within the standard intuitive data threshold range of agricultural products stored in the database, the quality status of the target agricultural product is determined to be abnormal, and the target agricultural product is recorded as a problematic agricultural product. This process is repeated to obtain all problematic agricultural products, thereby analyzing and obtaining the quality status of each target agricultural product.

[0029] It should be noted that the standard intuitive data threshold range is set by professional agricultural product managers. The standard intuitive data threshold range is a control value used to determine whether the corresponding quality status of each target agricultural product is normal, so as to intuitively understand the quality status of each target agricultural product before pre-sale and provide a clear and intuitive analytical benchmark for subsequent pesticide residue testing of agricultural products.

[0030] The product testing module is used to conduct corresponding tests on each problematic agricultural product, thereby obtaining the corresponding test data for each problematic agricultural product, and then analyzing the pesticide residue results for each problematic agricultural product.

[0031] By conducting corresponding tests on each problematic agricultural product, the corresponding test data can be obtained, and then the pesticide residue results of each problematic agricultural product can be analyzed. This enables efficient assessment of pesticide residue levels in agricultural products, providing a clear analytical direction for subsequent pesticide residue analysis and improving the efficiency of pesticide residue detection and analysis in agricultural products.

[0032] As an optional implementation, the step of performing corresponding tests on each problematic agricultural product to obtain corresponding test data for each problematic agricultural product is as follows: Each problematic agricultural product is tested using a gas chromatograph. By detecting the boiling point of each problematic agricultural product, the detection signal corresponding to the detector for each problematic agricultural product is obtained. Specifically, this is expressed as the retention time and peak area of ​​the pesticide corresponding to each problematic agricultural product. Based on the obtained pesticide retention time and peak area information as a detection feedback benchmark, the detection information corresponding to each problematic agricultural product is obtained, including the type and quantity of pesticides, pesticide concentration, and pesticide risk.

[0033] It should be noted that pesticide types include organophosphates, organochlorines, carbamates, and pyrethroids.

[0034] As an optional implementation method, the analysis obtains the pesticide residue results corresponding to each problematic agricultural product. The specific analysis process is as follows: the pesticide type, quantity, concentration, and risk corresponding to each problematic agricultural product are denoted as follows: , and ,when Then determine the first The problematic agricultural products did not have pesticide residues. Each problematic agricultural product was assigned a number. , It can be any integer greater than 2.

[0035] when Then determine the first The problematic agricultural products did not have pesticide residues. The pesticide residue result corresponding to the problematic agricultural products was mild pesticide residue, and they were recorded as mild residue agricultural products.

[0036] when Then determine the first The problematic agricultural products contained pesticide residues. The pesticide residue result for the problematic agricultural products was severe pesticide residue, and they will be recorded as severely residue-laden agricultural products.

[0037] The product testing and analysis module is used to analyze the basic information corresponding to each lightly polluted agricultural product, and then to obtain the corresponding removal measures for each lightly polluted agricultural product, and evaluate the effectiveness of the removal measures for each lightly polluted agricultural product. At the same time, it conducts comprehensive pesticide testing on agricultural products from the same production area corresponding to each heavily polluted agricultural product, and obtains the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product.

[0038] Based on the basic information corresponding to each lightly polluted agricultural product, we analyze and derive the corresponding removal measures, and evaluate the effectiveness of these measures. Simultaneously, we conduct comprehensive pesticide testing on agricultural products from the same production area corresponding to each heavily polluted agricultural product, obtaining the test results. This comprehensively ensures the safety of agricultural products for consumption, effectively reduces the harm of pesticide residues, and indirectly reduces the economic losses caused by heavy pesticide residues in agricultural products.

[0039] As an optional implementation, the analysis yields the removal measures corresponding to each lightly polluted agricultural product. The specific analysis process is as follows: Based on the specific pesticide type corresponding to each lightly polluted agricultural product, the specific pesticide type corresponding to each lightly polluted agricultural product is compared with the reference pesticide type corresponding to each historical lightly polluted agricultural product stored in the database. If the specific pesticide type corresponding to a certain lightly polluted agricultural product is the same as the reference pesticide type corresponding to a certain historical lightly polluted agricultural product stored in the database, then the pesticide residue removal measure under the reference pesticide type corresponding to that historical lightly polluted agricultural product is taken as the current removal measure for the light pesticide residue corresponding to that lightly polluted agricultural product. By comparison and analogy, the removal measures corresponding to each lightly polluted agricultural product are obtained.

[0040] It should be noted that pesticide residue removal measures formulated by professional agricultural product managers refer to specific types of pesticides. These measures are developed based on the knowledge and experience of the professional agricultural product managers, thereby achieving efficient removal of mild pesticide residues.

[0041] As an optional implementation method, the analysis yields the control method for the infrastructure corresponding to the power substation. The specific analysis process is as follows: After further pesticide removal testing on each lightly pesticide-contaminated agricultural product, the corresponding pesticide testing equipment is used to obtain secondary pesticide testing data for each lightly pesticide-contaminated agricultural product, including the actual residue and maximum residue. The actual residue and maximum residue of each lightly pesticide-contaminated agricultural product after pesticide removal are compared with the reference actual residue and standard maximum residue stored in the database. If the actual residue and maximum residue of a lightly pesticide-contaminated agricultural product after pesticide removal are both less than or equal to the reference actual residue and standard maximum residue stored in the database, the removal measures corresponding to the lightly pesticide-contaminated agricultural product are deemed effective. If either the actual residue or maximum residue of a lightly pesticide-contaminated agricultural product after pesticide removal is greater than the reference actual residue or standard maximum residue stored in the database, the removal measures corresponding to the lightly pesticide-contaminated agricultural product are deemed ineffective, and the lightly pesticide-contaminated agricultural product will be sold and discarded. This process is used to evaluate the effectiveness of the removal measures corresponding to each lightly pesticide-contaminated agricultural product.

[0042] It should be noted that the reference actual residue level and the standard maximum residue level are set by professional agricultural product managers. The reference actual residue level and the standard maximum residue level are used to assess whether the removal measures can completely remove light pesticide residues from agricultural products, thereby intuitively understanding whether the removal measures are effective and ensuring food safety.

[0043] As an optional implementation method, the detection results of agricultural products from the same production area corresponding to each severely affected agricultural product are obtained through the following specific detection process: by scanning the RFID tags installed on the agricultural product container of the device after harvesting, agricultural products belonging to the same planting area as each severely affected agricultural product are obtained, and then pesticide detection equipment is used to conduct unified pesticide detection to obtain the excess multiple of agricultural products from the same production area corresponding to each severely affected agricultural product.

[0044] The excessive limit multiple of agricultural products from the same production area corresponding to each severely contaminated agricultural product is compared with the preset reference excessive limit multiple. If the excessive limit multiple of agricultural products from the same production area corresponding to a severely contaminated agricultural product is greater than the preset reference excessive limit multiple, it is determined that the agricultural products from the same production area corresponding to that severely contaminated agricultural product are also in a state of severely excessive pesticide residues, and the planting area corresponding to that severely contaminated agricultural product is then tested.

[0045] Using pesticide detection equipment, pesticides are tested on the planting areas corresponding to the heavily contaminated agricultural products to obtain the transfer coefficients of each heavily contaminated agricultural product's planting area. The transfer coefficients of each heavily contaminated agricultural product's planting area are compared with a preset reference transfer coefficient. If the transfer coefficient of a certain heavily contaminated agricultural product's planting area is greater than the preset reference transfer coefficient, it is determined that the heavy source of the heavy residue of the heavily contaminated agricultural product and agricultural products from the same production area originates from the soil, and the soil is in a state of heavy pesticide infiltration. This is how the test results of agricultural products from the same production area corresponding to each heavily contaminated agricultural product are obtained.

[0046] It should be noted that the gas chromatography method is used to obtain the actual residue levels and MRL values ​​of agricultural products from the same production area corresponding to each severely affected agricultural product. The actual residue level is then divided by the MRL value to obtain the excess multiple of agricultural products from the same production area corresponding to each severely affected agricultural product. The gas chromatography method is also used to obtain the residue levels of agricultural products and soil from the planting areas corresponding to each severely affected agricultural product. The residue levels of agricultural products are then divided by the residue levels of soil to obtain the transfer coefficient of the planting areas corresponding to each severely affected agricultural product.

[0047] It should also be noted that professional agricultural product managers set the reference exceedance multiple and the reference transfer coefficient. The reference exceedance multiple is a reference value used to determine whether agricultural products from the same production area corresponding to each heavily pesticide-contaminated agricultural product are also in a state of heavy pesticide residue. The reference transfer coefficient is a reference value used to determine the pesticide residue status of the planting area corresponding to each heavily pesticide-contaminated agricultural product.

[0048] The database is used to store intuitive data, standard intuitive data threshold ranges, test data, basic information, reference pesticide types for each pesticide residue removal measure corresponding to each historically low-residue agricultural product, pesticide secondary test data, reference actual residue levels, standard maximum residue levels, exceedance multiples, and transfer coefficients.

[0049] The early warning terminal is used to issue early warnings when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product exceed the standard.

[0050] Please see Figure 2 As shown, a pesticide residue detection method includes: Step 1, preliminary product screening: performing pre-sale health tests on agricultural products to obtain intuitive data corresponding to each target agricultural product, and then analyzing the quality status of each target agricultural product.

[0051] Step 2, Product Testing Module: Conduct corresponding tests on each problematic agricultural product to obtain the corresponding test data, and then analyze the pesticide residue results for each problematic agricultural product.

[0052] Step 3: Product Testing and Analysis: Based on the basic information corresponding to each lightly polluted agricultural product, the corresponding removal measures are analyzed and the effectiveness of the removal measures is evaluated. At the same time, comprehensive pesticide testing is carried out on agricultural products from the same production area corresponding to each heavily polluted agricultural product to obtain the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product.

[0053] Step 4: Early Warning Prompt: An early warning prompt will be issued when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product are abnormal.

[0054] This invention, through pre-sale health testing of agricultural products, analyzes the quality status of each target agricultural product. Based on the analyzed quality status, it analyzes the pesticide residue results of problematic agricultural products, and conducts targeted analyses under the result rating to obtain the results of each analysis. This achieves comprehensive pesticide residue detection of agricultural products, fully ensuring the food safety of agricultural products, effectively reducing the harm of pesticide residues in agricultural products, and indirectly reducing the economic losses caused by severe pesticide residues in agricultural products. At the same time, based on professional pesticide testing equipment, it achieves efficient and accurate detection of pesticide residues in agricultural products, intelligently improving the efficiency and accuracy of pesticide residue detection, so as to take timely and targeted measures and achieve timely and accurate traceability maintenance.

[0055] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A pesticide residue detection system, characterized in that, include: The product preliminary screening module is used to perform pre-sale health tests on agricultural products, obtain intuitive data for each target agricultural product, and then analyze the quality status of each target agricultural product. The product testing module is used to conduct corresponding tests on each problematic agricultural product, thereby obtaining the corresponding test data for each problematic agricultural product, and then analyzing the pesticide residue results for each problematic agricultural product. The product testing and analysis module is used to analyze the basic information corresponding to each lightly polluted agricultural product, and then to obtain the corresponding removal measures for each lightly polluted agricultural product, and evaluate the effectiveness of the removal measures for each lightly polluted agricultural product. At the same time, it conducts comprehensive pesticide testing on agricultural products from the same production area corresponding to each heavily polluted agricultural product, and obtains the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product. The early warning terminal is used to issue early warnings when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product exceed the standard.

2. The pesticide residue detection system as described in claim 1, characterized in that, The analytical data includes appearance data and texture data.

3. The pesticide residue detection system as described in claim 2, characterized in that, The analysis yielded the quality status of each target agricultural product, and the specific analysis process is as follows: The intuitive data corresponding to each target agricultural product is compared with the standard intuitive data threshold range for agricultural products stored in the database. If the intuitive data corresponding to a target agricultural product is within the standard intuitive data threshold range for agricultural products stored in the database, the quality status of the target agricultural product is determined to be normal. If the intuitive data corresponding to a target agricultural product is not within the standard intuitive data threshold range for agricultural products stored in the database, the quality status of the target agricultural product is determined to be abnormal, and the target agricultural product is recorded as a problem agricultural product. By analogy, each problem agricultural product is obtained, and the quality status of each target agricultural product is analyzed in this way.

4. The pesticide residue detection system as described in claim 3, characterized in that, The process of conducting corresponding tests on each problematic agricultural product to obtain corresponding test data for each problematic agricultural product is as follows: Gas chromatography is used to detect the problematic agricultural products. By detecting the boiling point of each problematic agricultural product, the detection signal of the detector is obtained for each problematic agricultural product. Specifically, it is expressed as the retention time and peak area of ​​the pesticide for each problematic agricultural product. Based on the obtained pesticide retention time and peak area information, the detection information corresponding to each problematic agricultural product is obtained, including the type and quantity of pesticides, pesticide concentration and pesticide risk.

5. The pesticide residue detection system as described in claim 4, characterized in that, The analysis yielded pesticide residue results for each problematic agricultural product. The specific analysis process is as follows: The types, quantities, concentrations, and risks of pesticides corresponding to each problematic agricultural product are recorded as follows: , and ,when Then determine the first The problematic agricultural products did not have pesticide residues. Each problematic agricultural product was assigned a number. , It can be any integer greater than 2; when Then determine the first The problematic agricultural products did not have pesticide residues. The pesticide residue result corresponding to the problematic agricultural products was mild pesticide residue, and they were recorded as mild residue agricultural products. when Then determine the first The problematic agricultural products contained pesticide residues. The pesticide residue result for the problematic agricultural products was severe pesticide residue, and they will be recorded as severely residue-laden agricultural products.

6. The pesticide residue detection system as described in claim 5, characterized in that, The analysis yielded the corresponding removal measures for each lightly affected agricultural product. The specific analysis process is as follows: Based on the specific pesticide types corresponding to each lightly polluted agricultural product, the specific pesticide types corresponding to each lightly polluted agricultural product are compared with the reference pesticide types corresponding to each historical lightly polluted agricultural product stored in the database for each pesticide residue removal measure. If the specific pesticide type corresponding to a certain lightly polluted agricultural product is the same as the reference pesticide type corresponding to a certain historical lightly polluted agricultural product stored in the database for a certain pesticide residue removal measure, then the pesticide residue removal measure under the reference pesticide type corresponding to that historical lightly polluted agricultural product is taken as the current light pesticide residue removal measure for that lightly polluted agricultural product. By comparison and analogy, the removal measures corresponding to each lightly polluted agricultural product are obtained.

7. The pesticide residue detection system as described in claim 6, characterized in that, The analysis yields the management and control methods for the infrastructure corresponding to power substations. The specific analysis process is as follows: By conducting secondary pesticide testing on each lightly pesticide-contaminated agricultural product after pesticide removal, and using corresponding pesticide testing equipment to obtain secondary pesticide testing data for each lightly pesticide-contaminated agricultural product, including actual residue and maximum residue, the actual residue and maximum residue of each lightly pesticide-contaminated agricultural product after pesticide removal are compared with the reference actual residue and standard maximum residue stored in the database. If the actual residue and maximum residue of a lightly pesticide-contaminated agricultural product after pesticide removal are both less than or equal to the reference actual residue and standard maximum residue stored in the database, the removal measures for that lightly pesticide-contaminated agricultural product are deemed effective. If either the actual residue or the maximum residue of a lightly pesticide-contaminated agricultural product after pesticide removal is greater than the reference actual residue or standard maximum residue stored in the database, the removal measures for that lightly pesticide-contaminated agricultural product are deemed ineffective, and the lightly pesticide-contaminated agricultural product will be sold and discarded. This method is used to assess the effectiveness of the removal measures for each lightly pesticide-contaminated agricultural product.

8. The pesticide residue detection system as described in claim 5, characterized in that, The specific testing process for obtaining the test results of agricultural products from the same production area corresponding to each severely affected agricultural product is as follows: By installing RFID tags on the agricultural product containers after harvesting, agricultural products belonging to the same planting area as each severely affected agricultural product can be scanned. Then, pesticide detection equipment is used to conduct unified pesticide testing to obtain the multiple of the exceedance limit for agricultural products from the same production area corresponding to each severely affected agricultural product. The excessive limit multiple of agricultural products in the same production area corresponding to each severely affected agricultural product is compared with the preset reference excessive limit multiple. If the excessive limit multiple of agricultural products in the same production area corresponding to a severely affected agricultural product is greater than the preset reference excessive limit multiple, it is determined that the agricultural products in the same production area corresponding to that severely affected agricultural product are also in a state of severely excessive pesticide residues, and the planting area corresponding to that severely affected agricultural product is then tested. Using pesticide detection equipment, pesticides are tested on the planting areas corresponding to the heavily contaminated agricultural products to obtain the transfer coefficients of each heavily contaminated agricultural product's planting area. The transfer coefficients of each heavily contaminated agricultural product's planting area are compared with a preset reference transfer coefficient. If the transfer coefficient of a certain heavily contaminated agricultural product's planting area is greater than the preset reference transfer coefficient, it is determined that the heavy source of the heavy residue of the heavily contaminated agricultural product and agricultural products from the same production area originates from the soil, and the soil is in a state of heavy pesticide infiltration. This is how the test results of agricultural products from the same production area corresponding to each heavily contaminated agricultural product are obtained.

9. The pesticide residue detection system as described in claim 1, characterized in that, It also includes a database, which stores intuitive data, standard intuitive data threshold ranges, test data, basic information, reference pesticide types for each pesticide residue removal measure corresponding to each historically low-residue agricultural product, pesticide secondary test data, reference actual residue levels, standard maximum residue levels, exceedance multiples, and transfer coefficients.

10. A method for detecting pesticide residues using the pesticide residue detection system according to any one of claims 1-8, characterized in that, include: Step 1: Preliminary product screening: Conduct pre-sale health tests on agricultural products to obtain intuitive data for each target agricultural product, and then analyze the quality status of each target agricultural product. Step 2, Product Testing Module: Conduct corresponding tests on each problematic agricultural product, obtain the corresponding test data for each problematic agricultural product, and then analyze the pesticide residue results for each problematic agricultural product; Step 3: Product Testing and Analysis: Based on the basic information corresponding to each lightly polluted agricultural product, the corresponding removal measures are analyzed and the effectiveness of the removal measures is evaluated. At the same time, comprehensive pesticide testing is carried out on agricultural products from the same production area corresponding to each heavily polluted agricultural product to obtain the test results of agricultural products from the same production area corresponding to each heavily polluted agricultural product. Step 4: Early Warning Prompt: An early warning prompt will be issued when the quality status of a target agricultural product is abnormal, the residue result of a problematic agricultural product is mild, the residue result of a problematic agricultural product is severe, the removal measures for a mildly problematic agricultural product are ineffective, or the test results of agricultural products from the same production area corresponding to a severely problematic agricultural product are abnormal.

Images