首页|基于无人机遥感技术的大田作物精准施肥决策研究进展

基于无人机遥感技术的大田作物精准施肥决策研究进展

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近年来无人机遥感技术在作物施肥智慧决策与精准作业领域应用广泛,现将无人机遥感技术在监测作物长势并指导施肥、无人机精准作业等方面的研究现状作以综述.基于信息化方法的施肥决策可通过数据驱动和机理驱动2种方式制定,其中农情监测为施肥决策的制定提供了数据支撑,目前研究主要以机器学习、回归分析等数据驱动方法监测作物长势,存在农学机理与普适性不足等问题;部分研究通过耦合辐射传输模型、作物生长模型等机理模型提升了无人机遥感对作物大规模监测的物理意义与普适性.制定施肥决策方面重点探讨了通过无人机遥感数据建立回归模型等数据驱动方式制定作物精准施肥决策的研究现状,并对目前制定施肥决策缺乏机理性的问题进行了深入讨论与展望.无人机精准作业方面,综述无人机遥感、作业处方图生成和精准喷施技术等无人机执行精准施肥决策的关键作业环节,并对相关技术进行展望.深入分析基于无人机遥感方法开展大田作物精准施肥决策的研究进展及存在的问题,旨在为利用无人机实现作物精准施肥提供科学依据和参考.
Research Progress of Precision Fertilization Decision-Making for Field Crops Based on UAV Remote Sensing Technology
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.

UAVprecision fertilizationcrop monitoringremote sensing

于丰华、李世隆、金忠煜、白驹驰、许童羽

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沈阳农业大学信息与电气工程学院,沈阳 110161

沈阳农业大学国家数字农业区域创新分中心(东北),沈阳 110161

沈阳农业大学辽宁省智慧农业技术重点实验室,沈阳 110161

无人机 精准施肥 农情监测 遥感

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(6)