Hyperspectral plant leaf disease and insect pest diagnosis system

Abstract

The invention discloses a hyperspectral plant leaf disease and insect pest diagnosis system belonging to the field of agriculture. A hyperspectral imager and a line light source are together fixedly connected with an electric control displacement platform, and move together by control of a displacement platform control device; in the process of moving, the line light source irradiates a calibration board and a to-be-measured plant leaf, the hyperspectral imager collects data and uploads to a computer in real time; through image analysis and processing by processing software, the data is inputted into a disease and insect pest triple diagnosis model, the plant disease and insect pest infection degree can be quantitatively obtained in real time, according to the analysis, decision on whether a to-be-measured plant needs to be sprayed with a pesticide can be made, and decision on pesticide dose and type and spray head form can be made. The hyperspectral plant leaf disease and insect pest diagnosis system is mainly used for the fast nondestructive diagnosis of plant diseases and insect pest infection degree, and can play a positive role to improve the decision-making level of precision pesticide application and implement precision agriculture.

Description

technical field [0001] The invention relates to the field of agriculture, and relates to a plant leaf disease and insect pest diagnosis system, in particular to a hyperspectral plant leaf disease and insect pest diagnosis system. Background technique [0002] Plant diseases and insect pests seriously endanger the growth of plants. Pests and diseases will not only lead to a decline in the quality and yield of commercial crops, but also cause a large amount of investment in pesticides and other drugs and an increase in control costs, which will increase the cost of agricultural and forestry production and seriously pollute the environment. The existing detection methods of diseases and insect pests mainly include artificial sensory judgment and physical and chemical detection. Artificial sensory judgment is easily affected by some subjective and objective factors such as emotion, health, and fatigue; while physical and chemical testing requires high technical requirements for...

AI Technical Summary

Problems solved by technology

Artificial sensory judgment is easily affected by some subjective and objective factors such as emotion, health, and fatigue; while physical and chemical testing requires high technical requirements for users and poor timeliness, so it is not practical in specific diagnosis

Visible / near-infrared spectroscopy and multispectral imaging technology are two commonly used non-destructive testing technologies in plant pest detection. However, using spectral technology to collect plant data at close range in the field will be affected by the spectral absorption of plant canopy structure and weather factors. , which reduces the reliability of the collected data

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