作物杂志Issue(4)：8-16,9.DOI:10.16035/j.issn.1001-7283.2026.04.002
机器视觉光谱成像技术在玉米种子质量检测中的应用
Application of Spectral Imaging Technology Based on Machine Vision in Maize Seed Quality Detection
摘要
Abstract
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.关键词
玉米/机器视觉光谱成像技术/种子质量检测/发展趋势Key words
Maize/Machine vision-based spectral imaging technology/Seed quality detection/Development trends引用本文复制引用
展慧,吴擎,李丽君..机器视觉光谱成像技术在玉米种子质量检测中的应用[J].作物杂志,2026,(4):8-16,9.基金项目
湖北省支持种业高质量发展资金项目(HBZY2023B002) （HBZY2023B002）
