作物氮素和磷素含量高光谱估算研究进展  

Advances in Hyperspectral Estimation of Nitrogen and Phosphorus Content in Crops

作　　者：杨淑婷 王微 Yang Shuting;Wang Wei(Institute of Agricultural Economy and Information Technology,Ningxia Academy of Agriculture and Forestry Sciences,Yinchuan,Ningxia 750002)

机构地区：[1]宁夏农林科学院农业经济与信息技术研究所,宁夏银川750002

出　　处：《宁夏农林科技》2024年第10期59-63,共5页Journal of Ningxia Agriculture and Forestry Science and Technology

基　　金：宁夏自然科学基金项目(2023AAC03413、2023AAC03411)。

摘　　要：作物氮素和磷素是评估作物生长状况和产量的重要指标,准确估算作物氮、磷含量能够精准监测作物养分含量,对优化田间管理方式具有重要意义。对国内外相关研究成果进行综述,介绍基于不同尺度(叶片、冠层)作物氮素和磷素光谱估算方法,并对估算方法进行系统梳理,最后在此基础上分析高光谱技术在作物氮、磷估算上面临的难题和发展趋势,旨在为高光谱技术在农业上更好地应用提供参考。Crop nitrogen and phosphorus are important indicators to evaluate crop growth and yield,and accurate estimation of crop nitrogen and phosphorus content can accurately monitor crop nutrient content,which is of great significance for optimizing field management.The relevant research results at home and abroad are reviewed,the estimation methods of crop nitrogen and phosphorus spectra based on different scales(leaves and canopy)are introduced,and the estimation methods are systematically sorts out.Finally,on this basis,the problems faced by hyperspectral technology in crop nitrogen and phosphorus estimation and the next development trend are analyzed,aiming to provide references for the application of hyperspectral technology in agriculture.

关 键 词：氮素 磷素 光谱估算 光谱定量模型 

分 类 号：S513[农业科学—作物学] TP391.41[自动化与计算机技术—计算机应用技术]