首页 | 本学科首页   官方微博 | 高级检索  
     

农作物冠层光谱信息检测技术及方法综述
引用本文:方孝荣,高俊峰,谢传奇,朱逢乐,黄凌霞,何勇. 农作物冠层光谱信息检测技术及方法综述[J]. 光谱学与光谱分析, 2015, 35(7): 1949-1955. DOI: 10.3964/j.issn.1000-0593(2015)07-1949-07
作者姓名:方孝荣  高俊峰  谢传奇  朱逢乐  黄凌霞  何勇
作者单位:1. 金华职业技术学院,浙江 金华 321017
2. 浙江大学生物系统工程与食品科学学院,浙江 杭州 310058
3. 浙江大学动物科学学院,浙江 杭州 310058
4. 浙江大学唐仲英传感材料及应用研究中心, 浙江 杭州 310058
基金项目:国家(863计划)课题项目,宁波市科技局重大项目,浙江省蚕桑产业科技创新团队项目
摘    要:相比传统的化学方法及主观视觉测定植物生理信息指标,通过光谱辐射仪对农作物冠层信息的评估更简单、快速和精确。本文结合近年来农作物群体信息的获取方法,综述了不同类型光谱仪尤其以国际上应用最广泛的Cropscan多光谱辐射仪在农作物群体叶面积指数、生物量、氮素及叶绿素的预测,病虫害的监测及产量预测中的应用。总结了不同类型的的植被指数(VIs)、冠层光谱的获取及光谱分析方法,比较了不同农作物建立相关模型的回归系数。总体上建立的数学模型的相关系数较高,能实现对农作物各种生理信息等的检测。此外,将多光谱辐射仪与多种传感器相结合所得到的综合信息对于全面评价农作物生长情况具有重要指导价值。

关 键 词:光谱仪  Cropscan  冠层  植被指数  病虫害   
收稿时间:2014-04-13

Review of Crop Canopy Spectral Information Detection Technology and Methods
FANG Xiao-rong,GAO Jun-feng,XIE Chuan-qi,ZHU Feng-le,HUANG Ling-xia,HE Yong. Review of Crop Canopy Spectral Information Detection Technology and Methods[J]. Spectroscopy and Spectral Analysis, 2015, 35(7): 1949-1955. DOI: 10.3964/j.issn.1000-0593(2015)07-1949-07
Authors:FANG Xiao-rong  GAO Jun-feng  XIE Chuan-qi  ZHU Feng-le  HUANG Ling-xia  HE Yong
Affiliation:1. Jinhua Polytechnic, Jinhua 312017, China2. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China3. College of Animal Sciences, Zhejiang University, Hangzhou 310058, China4. Cyrus Tang Center for Sensor Materials and Applications, Zhejiang University, Hangzhou 310058, China
Abstract:Compared with the traditional chemical methods and the subjective visual ways for measuring plant physiology information indicators, the assessments of crop canopy information through spectral radiometer are more simple, rapid and accurate. The applications of different types of spectral radiometer, especially for international general used Cropscan multispectral radiometer, for predicting crop canopy leaf area index under different growth stage, biomass, nitrogen, chlorophyll and yield, and monitoring plant diseases and insect pests were summarized based on crop group information acquisition methods in recent years. The varity of vegetation indices (VIs) were concluded after comparing regression coefficients of related models among different crops. In general, the correlation coefficients of mathematical models were high and it can realize the crop detection of various kinds of physiological information. Besides, the combination of multispectral radiometer and other sensors can provide useful information to evaluate the status of crops growth, which is very important in practice.
Keywords:Spectrometer  Cropscan  Canopy  Vegetation index  Plant diseases and insect pests
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《光谱学与光谱分析》浏览原始摘要信息
点击此处可从《光谱学与光谱分析》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号