Research progress of crop seed quality detection based on spectral imaging technology

Abstract

Seed is the key link to ensure the yield and quality of crops, and seed quality plays a vital role in ensuring agricultural production. For seed quality testing, traditional methods have problems such as irreversible destruction, strong professionalism, complex process, long cycle, high cost, and inability to detect seeds online and real-time, which are difficult to meet the requirements of modern agriculture for non-destructive, rapid and efficient production of seeds. Spectral imaging technology has been widely used in the non-destructive and rapid detection of agricultural products, food, etc., with its advantages of fast, efficient, nondestructive and simple. The research progress of three spectral imaging technologies in seed quality detection was reviewed from the perspective of multispectral image recognition, hyperspectral image recognition and near-infrared spectral imaging. The basic principles, key technologies, implementation methods and application research results of the three spectral imaging technologies were compared, analyzed and summarized. The advantages and problems of spectral imaging technology detection and identification in crop seed quality detection were pointed out, In view of these problems, the future research directions are given to improve the understanding of agricultural information detection process using spectral imaging technology and promote the development of agricultural seed sources and other key agricultural core technologies.