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Application of machine vision technology in agricultural production
Author:Administrator   Published in:2019-12-30 15:25

Vision is an important means for humans to observe and perceive the world. According to statistics, about 80% of the information that humans obtain from the outside 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, it has become a goal for scientists to give humans visual functions for computers, robots or other intelligent machines.Since China 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 and weed identification. Significant progress has been made in the application of machine vision in agricultural machinery engineering. The following TEO Technology introduces the main applications in which areas:

1. Application in non-destructive testing of melon and fruit quality; through image acquisition cards, collect the shape and color characteristics of melon and fruit, and transfer the collected results to the analysis and processing system, and judge whether the melon and fruit are damaged products based on the processing results.

2. Application in grain identification and classification; identification and classification of rice, wheat, corn, and other grains, for example, based on stress cracks, morphology, color characteristics after dyeing, etc., using neural network and high-speed filtering to identify and classify .

3. Application in quality detection of flue-cured tobacco leaves; color analysis of a large number of tobacco leaf samples can obtain the distribution of color characteristic values of various samples, contour contour tracking algorithm is used to extract the overall contour of the overall image of tobacco leaves, and chain code representation is used Describe. Finally, the leaf structure and identity characteristics were comprehensively extracted and described by the tobacco leaf's light transmission characteristics.

4. The application of machine vision technology in agricultural production automation; during the growth of animals and plants, the growth of animals and plants can be accurately and automatically monitored, which 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, ex-factory packaging of meat, various agricultural and sideline products, vegetables, fruits and fruits, and quality inspection.

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


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