摘要
马铃薯作为世界四大粮食作物之一,对于全球范围内的粮食安全保障发挥着举足轻重的作用。大尺度农田环境下快速准确获取马铃薯表型信息是实现其精细化管理的基础保证。系统阐述无人机遥感的构成与基本工作原理,全面梳理与述评无人机遥感在马铃薯田间表型研究中的应用现状与进展,总结现有不足并对未来发展方向进行展望,以期为后续深入研究提供理论支撑与科学参考。
As one of the four major food crops in the world,potato plays a crucial role in ensuring global food security.Fast and accurate acquisition of potato phenotype information in large‑scale farmland is the basic guarantee for its refined management.By systematically expounding the composition and basic working principle of UAV remote sensing,this paper comprehensively combs and reviews the application status and progress of UAV remote sensing in potato field phenotype research,summarizes the existing shortcomings and prospects the future development direction,in order to provide theoretical supports and scientific references for the follow‑up in‑depth research.
作者
李敏
郭雷风
王瑞利
LI Min;GUO Leifeng;WANG Ruili(Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081,China;Inner Mongolia Academy of Science and Technology,Hohhot 010010,China)
出处
《河南农业科学》
北大核心
2023年第9期24-32,共9页
Journal of Henan Agricultural Sciences
基金
内蒙古自治区科技计划项目(2021GG0341)。
关键词
马铃薯
无人机
遥感
表型分析
计算机视觉
Potato
UAV
Remote sensing
Phenotype analysis
Computer vision