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无人机遥感作物估产研究进展

郑恒彪 程涛 吉文翰 郭彩丽 张小虎 邱小雷 姚霞 江冲亚 朱艳 曹卫星

南京农业大学学报2025,Vol.48Issue(1):1-13,13.
南京农业大学学报2025,Vol.48Issue(1):1-13,13.DOI:10.7685/jnau.202404020

无人机遥感作物估产研究进展

Research progress in crop yield estimation using unmanned aerial vehicle-based remote sensing

郑恒彪 1程涛 1吉文翰 1郭彩丽 1张小虎 1邱小雷 1姚霞 1江冲亚 1朱艳 1曹卫星1

作者信息

  • 1. 南京农业大学国家信息农业工程技术中心/智慧农业研究院/智慧农业教育部工程研究中心/农业农村部农作物系统分析与决策重点实验室/江苏省信息农业重点实验室/现代作物生产省部共建协同创新中心,江苏南京 210095
  • 折叠

摘要

Abstract

Rapid and accurate estimation of crop yield is not only beneficial for early acquisition of food production status,but also crucial for the national food policies making.Unmanned aerial vehicle(UAV)remote sensing technology has played an important role in crop yield estimation due to its advantages of speed,convenience,and low cost,as well as the ability to simultaneously carry multiple sensors to obtain images with high spatio-temporal resolution.Firstly,this article introduced the relevant background of UAV remote sensing production estimation.Secondly,an overview of the research status of UAV remote sensing estimation in the past two decades was provided,with a focus on summarizing the research progress from the aspects of UAV platforms,sensors,and model construction method both domestically and internationally.Finally,the factors that affect the accuracy of yield estimation,unresolved key technical issues,and the future development prospects of UAV remote sensing were discussed.This article can provide important references for understanding the forefront,technological bottlenecks,and development prospects of yield estimation using UAV remote sensing,and give technical support for precision farming and smart breeding.

关键词

作物/产量/估测/无人机遥感/传感器/建模方法/研究进展

Key words

crop/yield/estimation/unmanned aerial vehicle remote sensing/sensors/model construction method/research progress

分类

天文与地球科学

引用本文复制引用

郑恒彪,程涛,吉文翰,郭彩丽,张小虎,邱小雷,姚霞,江冲亚,朱艳,曹卫星..无人机遥感作物估产研究进展[J].南京农业大学学报,2025,48(1):1-13,13.

基金项目

国家重点研发计划项目(2022YFD2001100) (2022YFD2001100)

国家自然科学基金项目(32101617) (32101617)

江苏省重点实验室专项(KLIAZZ2301) (KLIAZZ2301)

南京农业大学学报

OA北大核心

1000-2030

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