基于遥感数据和作物生长模型的小麦变量施肥研究进展  

Advance in Wheat Variable-rate Nitrogen Fertilization Based on Crop Simulation Models and Remote Sensing Data

作　　者：蒋阿宁[1] 刘克礼[1] 赵春江[2] 黄文江[2] 王纪华 刘良云[2] 薛绪掌[2] 

机构地区：[1]内蒙古农业大学,呼和浩特010019 [2]国家农业信息化工程技术研究中心,北京10008

出　　处：《遥感技术与应用》2006年第6期601-606,共6页Remote Sensing Technology and Application

基　　金：北京市自然科学基金项目(4052014);国家自然科学基金项目(40471093;40571118);国防科技工业民用专项科研技术研究项目(JZ2005001-06)

摘　　要：就国内外基于遥感数据和作物生长模型在变量施肥技术的研究应用作了阐述,提出了快速、无损农业测试技术将是精准变量农业和数字农业今后的发展方向,对作物生长模型以及精准变量施肥技术的研究进展作了较系统的调查研究,阐述了将遥感数据与作物生长模型进行数据同化,实现以高产、优质、环保为目的农业生产的可行性。并结合我国国情提出了发展精准农业变量施肥技术所面临的困难和出路。This paper expounded the application of wheat variable-rate nitrogen fertilization based on crop simulation models and remote sensed data.It was regarded as trends of precision fertilization by variable-rate fertilization technology and nondestructive monitoring technology,progress of crop simulation models and precision variable rate technology were investigated and researched systematically. Crop simulation models aim at estimating agricultural production as a function of weather and soil conditions as well as crop management practices,and provide descriptions of canopy state variables and time integration of biophysical processes.Remote sensing technique is applying in many studies,such as the monitoring and protection of agricultural field,the estimation of yield in large area crop,the monitoring of crop growth,the monitoring of agricultural and meteorologic disaster and so on.So a data assimilation of crop simulation models and remote sensing data will improve grain yield and grain protein content and decrease the environment pollution rate.At last,the facing difficulties and outlet of developing precision fertilization in China was brought forward.

关 键 词：小麦 变量施肥 光谱指数 作物生长模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]