首页|基于无人机遥感的农作物病害监测研究进展

基于无人机遥感的农作物病害监测研究进展

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作物病害的高效、精准监测不仅在保障农业生产安全中具有重要意义,还对国家粮食安全政策的制定起着至关重要的作用.近年来,随着无人机技术的迅速发展,无人机农业遥感因其高空间分辨率、时效性强、成本相对较低等优势,在农作物病害监测领域的应用日益广泛.首先梳理了无人机遥感在作物病害监测中的应用背景,概述了当前广泛应用于农业生产中的无人机设备及其搭载的作物监测传感器;其次,从技术方法和研究进展的双重视角,系统综述了无人机遥感技术在作物病害监测中的具体应用及其成果;最后,深入探讨了影响无人机遥感病害监测精度的关键因素,分析了当前尚存的技术瓶颈,并展望了无人机遥感在作物病害监测中的未来发展方向.通过研究旨在为我国农作物病害监测平台的构建及相关技术的发展提供理论支持和实践参考.
Research Progress of Crop Disease Monitoring Based on UAV Remote Sensing
Efficient and precise monitoring of crop diseases is not only critical for ensuring agricultural production safety but also plays a pivotal role in shaping national food security policies.In recent years,with the rapid advancement of unmanned aerial vehicle(UAV)technology,UAV remote sensing has gained widespread application in agricultural crop disease monitoring due to its advantages of high spatial resolution,timeliness,and relatively low cost.This paper first introduces the background of UAV remote sensing in crop disease monitoring and summarizes the commonly used UAV equipment in agricultural production,along with the sensors they carry for crop monitoring.Next,it systematically reviews the specific applications and achievements of UAV remote sensing in crop disease monitoring,from the dual perspectives of technical methods and research progress.Finally,key factors affecting the accuracy of UAV-based disease monitoring are discussed in detail,the current technical bottlenecksare analyzed,and the future development direction of UAV remote sensing for crop disease monitoring is also envisioned.This study aims to provide theoretical support and practical guidance for the development of crop disease monitoring platforms and related technologies in China.

cropdiseaseUAV remote sensingdeep learningtarget detectionsemantic segmentation

曹英丽、张弘泽、郭福旭、冯帅、杨璐璐、魏松红

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沈阳农业大学信息与电气工程学院,沈阳 110161

国家数字农业区域创新分中心(东北),沈阳 110161

辽宁省智慧农业技术重点实验室,沈阳 110161

沈阳农业大学植物保护学院,沈阳 110161

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作物 病害 无人机遥感 深度学习 目标检测 语义分割

国家水稻产业技术体系项目辽宁省科技厅博士科研启动项目

CARS-012023-BSBA-282

2024

沈阳农业大学学报
沈阳农业大学

沈阳农业大学学报

CSTPCD北大核心
影响因子:0.667
ISSN:1000-1700
年,卷(期):2024.55(5)
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