基于光谱信息的作物氮素营养诊断研究进展  

Advances of Crop Nitrogen Diagnosis based on Spectral Information

作　　者：杨绍锷[1] 杜鑫[2] YANG Shao-e;DU Xin(Guangxi Academy of Agricultural Sciences, Agricultural Resources and Environment Institute, Nanning 530007, PRC;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, PRC)

机构地区：[1]广西壮族自治区农业科学院农业资源与环境研究所,广西南宁530007 [2]中国科学院遥感与数字地球研究所,北京100101

出　　处：《湖南农业科学》2017年第2期127-130,共4页Hunan Agricultural Sciences

基　　金：广西自然科学基金项目(2014GXNSFAA118129);广西农业科学院基本科研业务专项(桂农科2014YQ34);广西农业科学院基本科研业务专项(2015YT35);国家自然科学基金(41301497)

摘　　要：快速、准确地进行作物氮素营养诊断,有助于管理者及时、有效地采取相应的应对措施,既保障作物的高产量,又有效地管控、减少化肥施用量。由于作物氮素营养状况直接影响着作物的光谱信息,因此以作物光谱信息为依据进行作物氮素营养诊断极具潜力。对当前基于光谱信息进行作物氮素营养诊断的3种方法(便携式叶绿素仪法、高光谱遥感诊断法和数字图像分析诊断法)进行了综述,介绍了各个方法的原理、特点和研究进展,并对未来基于光谱信息的作物氮素营养诊断进行了展望。The rapid and accurate diagnosis of crop nitrogen nutrition will help managers to take appropriate measures in time and effectively, not only to ensure the high yield of crops, but also to effectively control and reduce the usage amount of fertilizer. Since the crop nitrogen nutrition status directly affects the spectral information of crop, thus, crop nitrogen nutrition diagnosis based on spectral information is a promising method. Three methods of crop nitrogen nutrition diagnosis based on spectral information are reviewed in this paper, portable chlorophyll instrument method, hyperspectral remote sensing diagnosis method and digital image analysis method,respectively; introduces the characteristics and research progress of each method, and prospects for future research.

关 键 词：光谱信息 氮素 营养诊断 研究进展 

分 类 号：S123[农业科学—农业基础科学]