• 首页 | 期刊简介 | 编委会 | 道德声明 | 投稿指南 | 联系我们 | 期刊订阅 | English
基于人工智能的作物病害识别研究进展
点此下载全文
引用本文:周长建,宋佳,向文胜.基于人工智能的作物病害识别研究进展.植物保护学报,2022,49(1):316-324
DOI:10.13802/j.cnki.zwbhxb.2022.2022803
摘要点击次数:
全文下载次数:
作者单位E-mail
周长建 东北农业大学, 高性能计算与人工智能研究中心, 哈尔滨 150030
东北农业大学, 黑龙江省农业微生物重点实验室, 哈尔滨 150030 
 
宋佳 东北农业大学, 黑龙江省农业微生物重点实验室, 哈尔滨 150030  
向文胜 东北农业大学, 高性能计算与人工智能研究中心, 哈尔滨 150030
东北农业大学, 黑龙江省农业微生物重点实验室, 哈尔滨 150030
中国农业科学院植物保护研究所, 植物病虫害生物学国家重点实验室, 北京 100193 
xiangwensheng@neau.edu.cn 
中文摘要:传统依靠人工经验的作物病害识别方式难以适应大规模种植环境,迫切需要寻求新的解决方案。近年来,人工智能技术在许多领域取得了丰硕成果,在作物病害识别领域也取得较好的效果。为深入了解人工智能技术在作物病害识别领域中的研究现状,该文主要从传统的机器学习方法和深度学习方法2个角度分析人工智能技术在作物病害识别领域的研究进展,主要包括这2种方法的技术理论、主要工作流程、应用现状及优缺点,同时展望了人工智能技术在未来作物病害识别领域的发展趋势。
中文关键词:植物保护  病害识别  人工智能  机器学习
 
Research progresses in artificial intelligence-based crop disease identification
Author NameAffiliationE-mail
Zhou Zhangjian High-performance Computing and Artificial Intelligence Research Center, Northeast Agricultural University, Harbin 150030, Heilongjiang Province, China
Key Laboratory of Agricultural Microbiology in Heilongjiang Province, Northeast Agricultural University, Harbin 150030, Heilongjiang Province, China 
 
Song Jia Key Laboratory of Agricultural Microbiology in Heilongjiang Province, Northeast Agricultural University, Harbin 150030, Heilongjiang Province, China  
Xiang Wensheng High-performance Computing and Artificial Intelligence Research Center, Northeast Agricultural University, Harbin 150030, Heilongjiang Province, China
Key Laboratory of Agricultural Microbiology in Heilongjiang Province, Northeast Agricultural University, Harbin 150030, Heilongjiang Province, China
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China 
xiangwensheng@neau.edu.cn 
Abstract:Traditional crop disease identification methods that rely on manual experience are not completely suitable for large-scale growing environments, and it is an urgent to find new solutions. In recent years, with the fruitful achievements of artificial intelligence(AI) technologies in many fields, it has been used in crop disease identification and achieved exciting progresses. In order to gain an in-depth understanding of the progresses of AI in crop disease identification tasks, this paper mainly analyzes the application of AI in crop disease identification from two perspectives:conventional machine learning methods and deep learning methods. The technical theory of these methods, main workflow, application status, advantages and disadvantages of the two methods are also investigated respectively. The trend of crop disease identification in the future is also foreseen at the same time.
keywords:plant protection  disease identification  artificial intelligence  machine learning
查看全文  查看/发表评论  下载PDF阅读器
您是本站第  7959151 版权所有:植物保护学报    京ICP备05006550号-2  
主管单位:中国科协 主办单位:中国植物保护学会、中国农业大学 地址:北京市圆明园西路2号 中国农业大学植物保护学院 植物保护学报编辑部
电话:010-62732528 电子邮件:zbxb@cau.edu.cn
技术支持:北京勤云科技发展有限公司