Crop pest detection system positioned on unmanned aerial vehicle

Abstract

The invention relates to a crop pest detection system positioned on an unmanned aerial vehicle. The crop pest detection system comprises a random access memory, a high-definition camera, an image processor and a main controller, wherein the high-definition camera is used for capturing a crop image; the image processor is connected with the high-definition camera and is used for processing the crop image to obtain a crop pest type in the crop image; the main controller is connected with the random access memory and the image processor respectively and is used for storing the crop pest type in the random access memory. By virtue of the crop pest detection system positioned on the unmanned aerial vehicle, the pest type of a field crop can be automatically obtained, and relevant agricultural management departments can conveniently call the system when the unmanned aerial vehicle returns, so that targeted pest prevention and control measures are taken.

Description

technical field [0001] The invention relates to the field of pest prevention and control, in particular to a crop pest detection system located on an unmanned aerial vehicle. Background technique [0002] In the process of agricultural production, effective prevention and control of pests and diseases is the premise to ensure a good agricultural harvest. If the planted crop diseases are widely distributed and seriously harmful, it will seriously affect the yield and quality of crops. Before prevention and control, the first thing to do is to judge the type of pests and diseases. If the judgment of the type of diseases and insect pests is accurate, the pests and diseases can be easily cured. If the judgment of the type of diseases and insect pests is not accurate, a lot of manpower and financial resources will be wasted, and precious treatment time will be delayed. [0003] The traditional method of diagnosing diseases and insect pests is based on visual observation and compa...

AI Technical Summary

Problems solved by technology

[0002] In the process of agricultural production, effective prevention and control of pests and diseases is the premise to ensure a good agricultural harvest. If the planted crop diseases are widely distributed and seriously harmful, it will seriously affect the yield and quality of crops. Before prevention and control, the first thing to do is to judge the type of pests and diseases. If the judgment of the type of diseases and insect pests is accurate, the pests and diseases can be easily cured. If the judgment of the type of diseases and insect pests is not accurate, a lot of manpower and financial resources will be wasted, and precious treatment time will be delayed.

[0003] The traditional method of diagnosing diseases and insect pests is judged by naked eyes and combined with the comparison of agricultural crop disease maps. The efficiency is low, and it is difficult to detect and control diseases in a timely and accurate manner.

Some crop disease expert systems developed and applied in recent years have played some roles, but because they require a large amount of disease data as the input of the system, and the specific characteristics of crop diseases are very complicated, it is difficult to achieve accurate quantification, thus affecting the expert system. accuracy of judgment

There are also some agricultural management departments that use satellite remote sensing to detect pests and diseases, but this detection method is expensive

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