Tea lesser leafhopper image acquisition system and method

Abstract

The invention discloses a tea lesser leafhopper image acquisition system which comprises an image acquisition module, an image processing module, an image display module, a peripheral circuit, an image sensor, an A/D conversion chip and an algorithm filtering and image recognition module. The output end of the image sensor is electrically connected with the input end of the image acquisition module, the output end of the image acquisition module is electrically connected with the input end of an image processing module, and the output end of the image processing module is electrically connected with the input end of an image display module; the tea lesser leafhopper image acquisition system and method are simple in the design mode, the system is stable and easy to use, can identify the number of tea lesser leafhoppers through the image acquisition device and the image processing system, plays a positive role in controlling diseases and insect pests, is high in adaptability, can also beused for prevention and control identification of other diseases and insect pests, high-resolution color picture image processing and video signal reproduction, and can meet various application requirements of people.

Description

technical field [0001] The present invention relates to an image processing system, and more specifically, relates to an image acquisition system and method thereof for the green leafhopper. Background technique [0002] Tea green leafhoppers, Hemiptera, Leafhopper family Cicadellidae, commonly known as Fuchenzi, Leaf Collembola, etc., occur widely, and occur in all tea-producing provinces and autonomous regions across the country. [0003] There are two types of green leafhoppers: tea leafhopper and false eye leafhopper. Among them, the tea leafhopper is the main hazard, which is one of the main tea pests. This worm occurs about 8-12 generations a year, and the generations alternate. Seriously damage summer and autumn tea, the damaged tea tree buds and leaves are curled up, hardened, leaf tips and leaf margins are reddish-brown and scorched, and the buds grow slowly, which has a great impact on the yield and quality of tea. and image processing systems. Contents of the...

AI Technical Summary

Problems solved by technology

Seriously damage summer and autumn tea, the damaged tea tree buds and leaves are curled up, hardened, leaf tips and leaf margins are reddish brown and scorched, and the buds grow slowly, which has a great impact on the yield and quality of tea leaves. Therefore, we propose a small green leafhopper image acquisition device and image processing system

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