机器视觉光谱成像技术在玉米种子质量检测中的应用OA

With the development of maize dense planting and single-seed precision sowing technologies,traditional seed quality detection methods cannot meet the requirements for high efficiency and accuracy,while machine vision spectral imaging technology provides a rapid,non-destructive,and efficient means of detection.This paper introduces the principles and development of machine vision spectral imaging technology,summarizes the seed quality detection workflow based on this technology,and analyzes the research progress in maize variety identification,purity analysis,imperfect grain identification,moldy grain detection,moisture content detection,and seed vigor detection.The existing problems in the research and application of machine vision spectral imaging technology are analyzed.The development trends of this technology in maize seed quality detection are prospected from the aspects of multi-technology integration and multimodal data fusion,construction of standard databases,new algorithm models,and research and development of intelligent online detection systems,aiming to provide a reference for promoting the application of this technology in maize seed detection.