高光谱技术在作物冠层生理参数检测中的研究进展OA
Research progress on detection of crop canopy physiological parameter using hyperspectral technology
高光谱技术作为一种高效、无损、快速的检测手段,已在作物生长评价、灾害监测和农业生产管理等领域得到广泛应用.作物生理参数是反映作物生长发育与营养状态的核心生化指标,受基因型与环境因素的共同调控.基于高光谱技术获取不同环境及生育期条件下的作物生理参数,可为作物的灌溉和施肥决策提供科学依据,从而有助于作物应对不利环境胁迫,保障作物的品质和产量.为给高光谱技术在作物冠层生理参数检测领域的后续研究提供理论参考,本文系统梳理了高光谱技术的基本原理,介绍了数据处理流程中的关键研究方法,重点综述了高光谱技术在作物冠层生理参数检测中的研究进展,分析了高光谱技术当前面临的主要挑战,并展望了高光谱技术的未来发展方向.
Hyperspectral technology,as an efficient,non-destructive,and rapid detection tool,has been widely used in crop growth assessment,disaster monitoring,and agricultural production management.Crop physiological parameters are core biochemical indicators reflecting crop growth and nutritional status,which are co-regulated by genotype and environmental factors.Retrieving crop physiological parameters under different environmental conditions and growth stages via hyperspectral technology can provide scientific support for irrigation and fertilization decision-making,which further assists crops in resisting adverse environmental stresses and guarantees crop quality and yield.This paper systematically reviews the basic principles of hyperspectral technology,introduces key research methods for data processing,and focuses on the research progress of hyperspectral technology applied to the detection of crop canopy physiological parameters.It also analyzes the main existing challenges of this technology and prospects its future development directions,aiming to provide theoretical references for future research on detecting crop canopy physiological parameters with hyperspectral technology.
刘柯楠;赵静涛;刘泽芃;任建文;许立中;冯全
甘肃农业大学机电工程学院,兰州 730070甘肃农业大学机电工程学院,兰州 730070甘肃农业大学机电工程学院,兰州 730070兰州博文科技学院机电工程学院,兰州 730101兰州兰石重型装备股份有限公司,兰州 730300甘肃农业大学机电工程学院,兰州 730070
建筑与水利
高光谱技术作物冠层生理参数反演模型
Hyperspectral technologyCrop canopyPhysiological parametersInversion model
《上海农业学报》 2026 (4)
151-163,13
甘肃农业大学伏羲青年英才项目(GAUfx-04Y02)甘肃省高校青年博士支持项目(2025QB-044)甘肃农业大学青年导师扶持基金(GAU-QDFC-2025-14)"十四五"国家重点研发计划(2021YFD190070403-02)
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