Fluorescence hyperspectral technology-based pesticide residue detection device and method

Abstract

The invention discloses a fluorescence hyperspectral technology-based pesticide residue detection device and method, and relates to the technical field of agricultural product detection. The fluorescence hyperspectral technology-based pesticide residue detection device mainly comprises an excitation light source module, an image acquisition module, a PC, an object stage and the like; during detection, a database is established in advance, related information of different vegetables, different pesticides and different pesticide concentrations is acquired and input into the database, and the PC is used for processing fluorescence hyperspectral image data of a detected object, calling a model in the database for matching calculation, and finally outputting a detection result. Compared with a conventional detecting instrument, the device has the characteristics that the database for storing related information is provided and excitation light source bands are adjustable, can be used for on-site real-time detection of types and residue concentration of common organophosphorus pesticides on the surfaces of leafy vegetables, and is high in detection accuracy, high in data processing speed and non-destructive and environmentally-friendly.

Description

technical field [0001] The invention is an organophosphorus pesticide residue detector in leafy vegetables based on fluorescent hyperspectral image technology, and relates to the technical field of agricultural product detection. Background technique [0002] Pesticides generally refer to the collective name of chemical agents used to prevent and control pests, weeds and other harmful organisms that harm crops and agricultural by-products. They are important agricultural production materials and play a very important role in agricultural production. Due to population growth and shortage of arable land resources, the demand for the production and use of pesticides in our country is increasing. However, pesticide residues in crops have posed a huge challenge to food safety issues that humans are increasingly paying attention to. Therefore, rapid and accurate detection and identification of pesticide residues in fruits and vegetables has attracted more and more attention. Amo...

AI Technical Summary

Problems solved by technology

However, its shortcoming is that it only provides detection of a very small area of ​​the detection object, and the acquired spectrum only represents some local areas of the surface of the agricultural product, and lacks the spatial information of the object. There is a large difference between them, which affects the stability of the system

The non-destructive detection of pesticide residues in agricultural products by hyperspectral imaging technology has made good progress in qualitative analysis, but the accuracy of quantitative analysis needs to be improved

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