Machine vision technology is a non-contact measurement technology that uses optical equipment to obtain real images, uses image processing technology to analyze images to obtain required information, or controls mechanical actuators to complete preset operations. It can perform real-time and online detection of geometric quantities such as the shape characteristics and displacement dimensions of target objects. It has the advantages of accuracy, reliability, high accuracy, and efficiency, and is widely used in industry, agriculture, manufacturing Transportation, aerospace and other fields.
The research on the application of machine vision technology in the agricultural field started in the 1970s, mainly focusing on the identification of plant species, agricultural product quality detection and other aspects. Most of the initial research focuses on the feasibility analysis of machine vision application in agriculture and the development of image processing algorithms. With the rapid development of computer software and hardware, image acquisition and processing devices, and image processing technology, the application of machine vision technology in agriculture continues to expand. At present, the United States, Japan, Germany and other developed countries have begun to apply machine vision systems to all stages of agricultural production to solve the challenges caused by the aging population, labor shortage and other problems.
Most of the relevant research in China is still in the experimental stage, but with the national policy support and economic input, some research results have also been achieved; Machine vision technology is mainly applied to agricultural product quality grading, non-destructive testing, crop information monitoring, etc. Agricultural equipment based on machine vision can greatly improve production efficiency and realize intelligent agricultural production. With the rise of intelligent driving, farmland vehicle navigation has become a current research hotspot. Intelligent agricultural machinery equipped with machine vision system is also widely used in agricultural production. China is in the transition period from traditional agriculture to modern agriculture, and agriculture integrating various modern intelligent technologies will become the future development trend. The application of machine vision technology in agricultural production can save labor, drive industrial upgrading, and promote the development process of agricultural modernization, which is of great significance to the intelligent development of future agriculture.
