沈阳农业大学学报2024，Vol.55Issue(6)：788-797,10.DOI:10.3969/j.issn.1000-1700.2024.06.016
基于无人机遥感技术的大田作物精准施肥决策研究进展
Research Progress of Precision Fertilization Decision-Making for Field Crops Based on UAV Remote Sensing Technology
摘要
Abstract
In recent years,unmanned aerial vehicle(UAV)remote sensing technology has been widely applied in the field of intelligent decision-making and precise operation of crop fertilization.This article reviews the current research status of UAV remote sensing technology in monitoring crop growth and guiding fertilization,as well as precise UAV operations.Fertilization decisions based on information technology can be made through two methods:data-driven and mechanism driven.Among them,crop monitoring provides data support for fertilization decision-making.Currently,research mainly uses data-driven methods such as machine learning and regression analysis to monitor crop growth,which has problems such as insufficient agricultural mechanisms and universality;Some studies have improved the physical significance and universality of unmanned aerial vehicle remote sensing for large-scale crop monitoring through coupling radiation transfer models,crop growth models,and other mechanism models.In terms of formulating fertilization decisions,the focus was on exploring the research status of data-driven methods such as establishing regression models through UAV remote sensing data to make precise fertilization decisions for crops.The lack of mechanistic reasoning in current fertilization decisions was also discussed and discussed in depth.In terms of precise UAV operations,this article summarizes the key operational links of UAV remote sensing,operation prescription map generation,and precise spraying technology in executing precise fertilization decisions,and looks forward to related technologies.This article provides an in-depth analysis of the research progress and existing problems in precision fertilization decision-making for field crops based on UAV remote sensing methods,aiming to provide scientific basis and reference for the use of UAV precision fertilization for crops.关键词
无人机/精准施肥/农情监测/遥感Key words
UAV/precision fertilization/crop monitoring/remote sensing分类
农业科技引用本文复制引用
于丰华,李世隆,金忠煜,白驹驰,许童羽..基于无人机遥感技术的大田作物精准施肥决策研究进展[J].沈阳农业大学学报,2024,55(6):788-797,10.基金项目
国家自然科学基金项目(32201652) （32201652）
辽宁省自然科学基金项目(2023-MSLH-283) （2023-MSLH-283）
辽宁省"兴辽英才计划"项目(XLYC2203005) （XLYC2203005）
