With the development of science and technology, agriculture is no longer just a simple farming and animal husbandry. The research and application of machine vision technology have been expanded to the field of agricultural engineering and have achieved significant results in many aspects.

The application of machine vision products in agricultural production is mainly as follows:

1. Application of non-destructive detection of fruit quality of fruits; through image acquisition cards, the shape, color and other characteristics of fruits are collected, and the collection results are transmitted to the analysis and processing system to determine whether the fruits are destructive products based on the processing results.

2. Application in the quality detection of tobacco leaves; color analysis of a large number of tobacco leaves samples can be obtained, and the distribution of color characteristic values ​​of various samples can be obtained. The outline tracking algorithm is used to extract the overall image outline of the tobacco leaves, and the chain code representation is used to describe.Finally, the blade structure and identity characteristics are comprehensively extracted and described through the light transmission characteristics of tobacco leaves.

3. Application in grain identification and grading; identification and grading of rice, wheat, corn and other grains, such as using neural networks, high-speed filtering and other technologies to identify and classify them based on stress cracks, morphology, color characteristics after dyeing, etc.

4. Factory quality inspection of agricultural and sideline products, such as packaging and defects, factory packaging and quality inspection of meat, various agricultural and sideline products, vegetables, fruit and melon products.

5. Application in agricultural machinery; agricultural product sorting machinery is the earliest and most widely used aspect of machine vision technology in agricultural machinery. It mainly uses this technology to conduct non-destructive testing, that is, using some basic physical characteristics reflected on the surface of agricultural products to conduct quality evaluation and grading of products according to certain standards.It is mainly used for automatic quality inspection and feedback control during agricultural product processing.

6. Application of machine vision technology in agricultural production automation; during the growth process of animals and plants, the precise and automatic monitoring of their growth conditions can be effectively controlled to meet the needs of animals and plants production.