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作 者:徐天成 吴敏[1] 贺冬仙[2] 郑志安[1] 徐辉煌 包金青 XU Tiancheng;WU Min;HE Dongxian;ZHENG Zhian;XU Huihuang;BAO Jinqing(School of Engineering,China Agricultural University,Beijing 100083,China;School of Water Conservancy and Civil Engineering,China Agricultural University,Beijing 100083,China;Beijing Shengyanggu Technology Co.,Ltd.,Beijing 100083,China)
机构地区:[1]中国农业大学工学院,北京100083 [2]中国农业大学水利与土木工程学院,北京100083 [3]北京盛阳谷科技有限公司,北京100083
出 处:《农业工程》2021年第8期40-48,共9页AGRICULTURAL ENGINEERING
基 金:国家现代农业产业技术体系资助项目(CARS-21)。
摘 要:从农作物种子筛选与检测、农作物生长过程中信息检测、病虫草害控制、果实无损检测到果实机械化采摘,整个农业生产过程中机器视觉在农业智能化装备上都有巨大的发展空间和市场前景。介绍了图像采集和处理过程中各种视觉传感器和图像分割算法的适用特点和优势,提出现有机器视觉技术在农业工程中应用存在的问题及未来发展方向,为进一步实现精准农业和农业自动化提供借鉴和参考。In the whole process of agricultural production,machine vision has a huge development space and market prospect in agricultural intelligent equipment,such as crop seed screening and detection,information detection in the process of crop growth,control of diseases,insects and weeds,nondestructive detection of fruits and mechanized picking.Application characteristics and advantages of various vision sensors and image segmentation algorithms in the process of image acquisition and processing were introduced,and existing problems in application of machine vision technology in agricultural engineering and future development direction were put forward,so as to provide reference for further realization of precision agriculture and agricultural automation.
分 类 号:S126[农业科学—农业基础科学]
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