机器视觉技术具有实时性，高精度和对不利环境的适应性，可用于玉米生产各环节，提高生产管理效率。通过文献查阅与梳理分析，总结了机器视觉技术在玉米种子管理、品质管理、病虫害管理、田间管理等领域的研究现状，并指出玉米产业应用机器视觉技术的瓶颈在于机器视觉系统研发困难、种植业主应用积极性不高、技术推广人员严重不足等问题，提出了加强协作开发，降低成本；提高田间信息化管理水平，扩大生产规模；加大科普及技术服务力度等建议。

Machine vision technology has real-time, high-precision, and adaptability to adverse environments, which could be used in various stages of maize production to improve production management efficiency. Through literature review and analysis, the current research status of machine vision technology in fields such as maize seed management, quality management, pest and disease management, and field management are summarized in this paper. It is also pointed out that the bottleneck in the application of machine vision technology in the maize industry lies in difficulties in machine vision system research and development, low enthusiasm for application, and serious shortage of technical personnel in promotion and extension. In respect of these issues suggestions are proposed including strengthening collaborative development to reduce costs, improving the level of field information management to expand production scale, and increasing efforts in science popularization and technical services.

S-1；S513