Pesticide residue detection system and method based on big data

Abstract

The invention discloses a pesticide residue detection system and method based on big data, and relates to the technical field of big data. The system comprises a data processing module and a block chain module. The data processing module processes the historical pesticide residue data according to the influence degree of the historical pesticide spraying data on the historical pesticide residue data, and analyzes the influence degree of the current pesticide spraying data on the current pesticide residue data. The block chain module is used for uploading the processing data of the data processing module to a block chain. The method is scientific and reasonable, safe and convenient to use. The pesticide residue of the agricultural product is predicted through big data. Compared with the traditional method for detecting the pesticide residues in the agricultural products by using a detection instrument and detection equipment, the detection process is simpler, a large amount of instruments and equipment are not needed for detection, the detection cost is reduced, the pesticide residue detection time is shortened, and the agricultural products do not need to be sampled.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a pesticide residue detection system and method based on big data. Background technique [0002] my country is a large agricultural country. With the continuous improvement of agricultural productivity, the problems caused by large-scale agricultural production have gradually surfaced. In order to ensure the output and quality of agricultural products, pesticides will be sprayed during the growth cycle of agricultural products. To ensure that agricultural products are free from pests during the growth process and increase yields. However, the spraying of pesticides will cause pesticide residues in the roots, stems, leaves, and fruits of agricultural products. When the pesticide residues exceed the standard, after eating, it will endanger human health. Therefore, it is necessary to detect the pesticide residues in agricultural products; [0003] In the prior art, the detection of ...

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Problems solved by technology

[0002] my country is a large agricultural country. With the continuous improvement of agricultural productivity, the problems caused by large-scale agricultural production have gradually surfaced. In order to ensure the output and quality of agricultural products, pesticides will be sprayed during the growth cycle of agricultural products. To ensure that agricultural products are free from pests during the growth process and increase yields. However, the spraying of pesticides will cause pesticide residues in the roots, stems, leaves, and fruits of agricultural products. When the pesticide residues exceed the standard, after eating, it will endanger human health. Therefore, it is necessary to detect the pesticide residues in agricultural products;

[0003] In the prior art, the detection of pesticide residues in agricultural products is carried out by extracting, purifying, and detecting samples of agricultural products. The detection process is complicated, the operation is cumbersome, and a large number of professional instruments are required for detection. Sampling, and when the pesticide residues of agricultural products fail to meet the standards, it is impossible to know the time when the pesticide residues reach the standards, and it is also impossible to trace the entire process of the pesticide residue detection of agricultural products. The phenomenon of picking is harmful to people's health, so people need a pesticide residue detection system and method based on big data to solve the above problems

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