Six major applications of machine vision in agricultural industry inspection

Since our country is a country with a large population and is based on agriculture, many experts are dedicated to the research and application of machine vision technology to expand into the field of agricultural engineering, and have achieved significant results in many aspects. Below, Chengdu Xinxiwang will explain to you the six major applications of machine vision in agricultural industry inspection:

1. Application in non-destructive testing of melon and fruit quality

Through the image acquisition card, the shape, color and other characteristics of the melon and fruit are collected, and the collection results are sent to the analysis and processing system. Based on the processing results, it is judged whether the melon and fruit are damaged products.

2. Application in quality inspection of flue-cured tobacco leaves

Through color analysis of a large number of tobacco leaf samples, the distribution of color feature 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 method is used to describe it. Finally, the leaf structure and identity characteristics are comprehensively extracted and described through the light transmission characteristics of tobacco leaves.

3. Application in grain identification and grading

For the identification and classification of rice, wheat, corn and other grains, for example, neural networks, high-speed filtering and other technologies are used to identify and classify based on stress cracks, morphology, color characteristics after dyeing, etc.

4. Factory quality inspection of agricultural and sideline products

Such as packaging, defects, factory packaging and quality inspection of meat, various agricultural and sideline products, vegetables, melon and fruit products, etc.

5. Application in agricultural machinery

Agricultural product sorting machinery is one of the earliest and most widely used applications of machine vision technology in agricultural machinery. It mainly uses this technology for non-destructive testing, that is, using some basic physical properties reflected on the surface of agricultural products to test products according to certain standards. Quality assessment and grading. It is mainly used for automatic quality detection and feedback control during the processing of agricultural products.

6. Application of machine vision technology in agricultural production automation

During the growth process of animals and plants, the growth environment of animals and plants can be effectively controlled by accurately and automatically monitoring their growth conditions to meet the needs of animal and plant production.