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高光谱遥感在农作物研究中的应用与发展趋势

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高光谱遥感是目前农作物研究的重要技术手段.为促进农作物生长周期的健康发展和基础研究,提高遥感技术在农作物研究中的应用水平,笔者概述了高光谱遥感在农作物研究中的分析算法,重点讨论了高光谱遥感在农作物长势、农作物信息监测和农作物信息提取方面的研究进展.针对目前仍需深入开展的叶面积指数、生物量估算、氮素监测、叶绿素监测、病虫害监测、重金属监测、农作物碳氮比和水分含量等研究进行了系统综述.分析结果表明,在农作物研究中高光谱遥感技术与人工智能的结合已初见成效,但仍难以满足现代农业的智能化需求,若与新一代信息技术和大模型集成交叉将发挥巨大的研究潜力.
Application and Development Trend of Hyperspectral Remote Sensing in Crop Research
Hyperspectral remote sensing is an important technology for crop research.In order to promote the healthy development and basic research of crop growth cycle,improve the application level of remote sensing technology in crop research,this paper summarizes the analysis algorithms of hyperspectral in crop research,focus on the research progress of hyperspectral in crop growth,crop information monitoring,and crop information extraction.This paper systematically reviews the studies on leaf area index,biomass estimation,nitrogen monitoring,chlorophyll monitoring,pest and disease monitoring,heavy metal monitoring,crop carbon to nitrogen ratio,and water content,which still need to be further developed.Analysis shows that the combination of hyperspectral technology and artificial intelligence has achieved initial results in crop research which is still difficult to meet the intelligent needs of modern agriculture.If the new generation of information technology and large models are used to empower,enormous research potential will be unleashed.

hyperspectral remote sensingcropscrop growthcrop monitoringcrop information extraction

谭雨蕾、李雪岩、张力元

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长春工程学院计算机技术与工程学院/人工智能技术研究院,长春 130012

东北林业大学林学院,哈尔滨 150040

高光谱遥感 农作物 农作物长势 农作物监测 农作物信息提取

2024

中国农学通报
中国农学会

中国农学通报

CSTPCD
影响因子:0.891
ISSN:1000-6850
年,卷(期):2024.40(34)