大田作物病害遥感监测技术及模型的研究现状与展望
Current status and prospects of remote sensing monitoring technology and models on field crop diseases:A review
赵倩 1刘长斌 2梅新 3梅广源 1陶婷 1赵培钦 1杨小冬2
作者信息
- 1. 湖北大学资源环境学院,武汉 430062;农业农村部农业遥感机理与定量遥感重点实验室/北京市农林科学院信息技术研究中心,北京 100097
- 2. 农业农村部农业遥感机理与定量遥感重点实验室/北京市农林科学院信息技术研究中心,北京 100097
- 3. 湖北大学资源环境学院,武汉 430062
- 折叠
摘要
[目的]高效准确监测大田作物病害对作物生产和粮食安全至关重要.文章旨在系统梳理大田作物病害遥感监测技术及模型的研究成果,推动作物病害监测技术发展与应用.[方法]采用文献检索、归纳总结等方法,系统梳理了国内外大田作物病害遥感监测研究,阐述了大田作物病害遥感监测技术的未来发展趋势.[结果](1)阐述大田作物病害遥感监测基本原理,并构建了基本框架;(2)大田作物病害监测遥感数据源主要包括多光谱、高光谱、荧光和热红外遥感;(3)大田作物病害监测遥感模型主要包括统计模型、传统机器学习模型和深度学习模型.[结论]未来应以病害早期监测、实时监测系统和数据共享为重点突破和研究的方向,为大田作物病害实时或准实时监测预测提供技术支撑.
Abstract
[Purpose]The implementation of efficient and precise disease monitoring methods is crucial for ensuring food production and safety.This article aims to systematically review the research findings on remote sensing technology and models for monitoring diseases in field crops,thereby fostering the development and application of crop disease monitoring technology.[Method]The paper adopted the methods of literature retrieval and inductive summarisation to comprehensively review the research on remote sensing monitoring of crop diseases in domestic and foreign contexts,and elaborated the future development trend of remote sensing monitoring technology of field crop diseases.[Result](1)The basic principles of remote sensing monitoring of crop diseases were elaborated and the basic framework was constructed;(2)The remote sensing data sources for crop disease monitoring mainly included multispectral,hyperspectral,fluorescence and thermal infrared remote sensing;(3)The remote sensing models for crop disease monitoring mainly included statistical models,traditional machine learning models and deep learning models.[Conclusion]In the future,early disease monitoring,real-time monitoring system and data sharing should be the key breakthroughs and research directions to provide technical support for real-time or quasi-real-time monitoring and prediction of field crop diseases.
关键词
作物病害/遥感监测/反演模型/研究现状/未来展望Key words
field crops/inversion models/future prospect/remote sensing monitoring引用本文复制引用
基金项目
国家重点研发计划(2023YFD2000105)
出版年
2024
国家科技期刊平台
NSTL
万方数据