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作 者:杨奉水 王志博[1] 汪为通 张欣欣 孙亮[1] 肖强[1] YANG Fengshui;WANG Zhibo;WANGWeitong;ZHANG Xinxin;SUN Liang;XIAO Qiang(Tea Research Institute,Chinese Academy of Agriculture Sciences,Hangzhou 310008,China)
机构地区:[1]中国农业科学院茶叶研究所,浙江杭州310008
出 处:《中国茶叶》2022年第6期1-6,共6页China Tea
基 金:国家重点研发计划(2020YFD1000701);中国农业科学院创新工程(CAAS-ASTIP-2022-TRICAAS)。
摘 要:传统茶树病虫害的识别主要依靠专业植保人员的现场诊断,难以满足现阶段茶园大规模种植发展的需求。随着计算机应用技术和人工智能领域的发展,应用人工智能识别茶树病虫害已成为建设数字茶园的重要部分。文章系统阐述了人工智能识别技术的发展历程及在茶树病虫害识别技术上的研究和应用现状,分析了茶树病虫害识别技术目前所遇到的问题,展望了人工智能识别技术在茶树病虫害识别、监测和预警上的应用前景。The identification of traditional tea diseases and insect pests mainly relies on the on-site diagnosis of professional personnel,which is difficult to meet the needs of large-scale planting and development of tea gardens now.With the development of computer application technology and artificial intelligence,the application of artificial intelligence to identify tea diseases and insect pests has become an important part of building intelligent tea garden.This paper reviewed the development history of artificial intelligence identification technology and the research and application status of tea pest and disease identification technology,analyzed the current problems encountered by tea pest and disease identification technology,and prospected the application prospects of artificial intelligence identification technology in the identification,monitoring and early warning of tea pests and diseases.
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