Farmland insect detection method and device

Abstract

The invention relates to a farmland insect detection method and device. According to the invention, a rectangular detection apparatus formed by an infrared detecting machine group is used to detect the signal cut-off time of the infrared detecting machine group within a unit time, then comparison with data in a database is carried out through a control system, and a signal is sent according to comparison results. The invention achieves real-time monitoring of the number of insects and timely detects occurrence of insect diseases. The method helps to develop software with friendly man-machine interfaces, and combines lamps erected on the farm so as to help farmers or detection persons to inquire detection results only with observation light at a distance or remote equipment.

Description

Technical field [0001] The invention relates to a detection device, in particular to a method and device for detecting farmland pests. Background technique [0002] At present, there are generally the following methods for the detection of farmland pests. Manual detection: The most common method for detecting plant diseases and insect pests is the artificial method. It is usually the farmers or inspectors to identify whether the crops have pests or diseases based on their actual planting experience; as a farmer or inspector When you are familiar with or understand pests and diseases, the identification speed is very fast; but it requires people to go deep into the field to detect, which requires large human resources and may not have enough coverage. Chemical testing: Chemical testing is mainly used in laboratories, using chemical cost analysis to identify pests and diseases. This method is accurate and reliable, but for farmers, the operation is more complicated, and the testing...

AI Technical Summary

Problems solved by technology

[0002] At present, there are generally the following methods for the detection of farmland pests, manual detection: the most common method for detection of plant diseases and insect pests is manual methods, usually farmers or inspectors identify whether crops have pests and diseases based on their actual planting experience; when farmers or inspectors When you are familiar with or understand the pests and diseases, the identification speed is very fast; but people need to go deep into the field for detection, which requires a lot of human resources, and the coverage may be insufficient

Chemical detection: Chemical detection is mainly used in laboratories, and the analysis of chemical costs is used to identify pests and diseases. This method is accurate and reliable, but for farmers, the operation is more complicated, and the detection cost is relatively high, the detection time is long, and the equipment is not convenient. Real-time detection cannot be realized

Spectral technology detection: Spectral image analysis technology is a combination of optics, chemometrics, computer technology, spectral data processing and data association technology, because the spectrum can directly reflect the internal structure and motion state of molecules, with strong characteristics and high sensitivity. Technology is widely used in industry, agriculture and scientific research, but this technology is easily affected by environmental moisture

The above detection methods have some defects for the detection of farmland pests.

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