现代农业装备2025，Vol.46Issue(6)：9-16,8.DOI:10.3969/j.issn.1673-2154.2025.06.002
无人机遥感在作物病虫害监测与生理参数反演研究进展
Research Advances in Crop Pest and Disease Monitoring and Physiological Parameter Inversion by UAV Remote Sensing
摘要
Abstract
Monitoring of crop pest and disease stress and inversion of physiological and biochemical parameters are key technical issues in modern agricultural science.Traditional monitoring methods mainly rely on manual field sampling and laboratory analysis,which have inherent drawbacks such as low sampling efficiency,irreversible crop damage,and lagging data timeliness,making it difficult to meet the demands of large-scale precision agriculture.This paper introduced the advantageous characteristics of unmanned aerial vehicle(UAV)agricultural remote sensing technology,and discussed the types of flight platforms,data acquisition and processing methods for monitoring pest and disease stress and inversion of physiological and biochemical parameters.The research progress of unmanned aerial vehicle(UAV)remote sensing technology in monitoring crop disease and pest stress and inversion of physiological and biochemical parameters was expounded from six aspects:diseases,pests,chlorophyll content,nitrogen content,biomass and leaf area index.The unsolved problems and future development directions in the current research on unmanned aerial vehicle(UAV)remote sensing monitoring of crop pest and disease stress and inversion of physiological and biochemical parameters were pointed out.The paper provides theoretical support and reference for the sustainable development of precision agriculture.关键词
无人机遥感/病虫害胁迫/生理生化参数/高光谱/多光谱Key words
UAV remote sensing/pest and disease stress/physiological and biochemical parameters/hyperspectral/multispectral分类
农业科技引用本文复制引用
WANG Bowen,HU Jun,SHI Hang,LIU Changxi,JIA Chang'an..无人机遥感在作物病虫害监测与生理参数反演研究进展[J].现代农业装备,2025,46(6):9-16,8.基金项目
黑龙江省重点研发计划重大项目(2023ZX01A06) （2023ZX01A06）
黑龙江省"双一流"学科协同创新成果项目(LJGXCG2023-045) （LJGXCG2023-045）
中国高校产学研创新基金资助课题(2023RY059) （2023RY059）
绿色农药全国重点实验室(贵州大学)开放基金课题资助项目(GPLKF202511) （贵州大学）
大庆市指导课题(zd-2025-034) （zd-2025-034）
