Application of machine vision technology in agricultural production

Vision is an important means for humans to observe and understand the world. According to statistics, about 80% of the information humans obtain from the external world is obtained visually. This not only shows the huge amount of visual information, but also reflects the importance of human visual function. With the development of information technology, giving computers, robots or other intelligent machines the human visual function has become the goal of scientists.

Since my country is a country with a large population and is based on agriculture, many experts are committed to research in the field of agricultural production. For example, in agricultural production, part of the work is to judge the appearance of crops or agricultural products, such as fruit quality testing, fruit maturity judgment, crop growth status, and weed identification. The application of machine vision in agricultural machinery engineering has made significant progress. Below, TEO Dior Technology will introduce to you its main applications:

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, and based on the processing results, it is judged whether the melon and fruit are damaged products.
2. Application in grain identification and grading; identification and grading of rice, wheat, corn and other grains, such as applying neural network, high-speed filtering and other technologies to identify and classify based on stress cracks, morphology, color characteristics after dyeing, etc.
3. Application in flue-cured tobacco leaf quality inspection; conduct color analysis on a large number of tobacco leaf samples to obtain the distribution of color feature values ​​of various samples, use a contour tracking algorithm to extract the overall image outline of the tobacco leaf, and use chain code representation to describe it. Finally, the leaf structure and identity characteristics are comprehensively extracted and described through the light transmission characteristics of tobacco leaves.
4. The application of machine vision technology in agricultural production automation; during the growth process of animals and plants, accurate and automatic monitoring of their growth conditions can effectively control the growth environment of animals and plants to meet the needs of animal and plant production.
5. Ex-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.

The sustainable development of agriculture has always been a global theme. As the basic industry of China's national economy, agriculture has attracted more and more attention from people. People's requirements for agricultural products are also getting higher and higher, and they have gradually transformed from traditional agriculture to precision agriculture. Machine vision technology is widely used in modern agricultural production because of its non-destructive, high-precision, and fast characteristics. Machine vision technology is playing an increasingly important role in the information age.