›› 2014, Vol. 16 ›› Issue (5): 90-98.DOI: 10.13304/j.nykjdb.2014.018

• 数字农业 农机装备 • 上一篇    下一篇

基于光谱的作物病虫害监测研究进展

傅坤亚1,2,张文宇2,曹宏鑫2*,朱艳1*,沙依然·外力2, 张伟欣2,冯春焕1,2   

  1. (1.南京农业大学农学院, 南京 210095|2.江苏省农业科学院农业经济与信息研究所数字农业工程技术研究中心, 南京 210014)
  • 出版日期:2014-10-15 发布日期:2014-10-14
  • 通讯作者: 曹宏鑫,研究员,博士,研究方向为数字农业。E\|mail:caohongxin@hotmail.com。朱艳,教授,研究方向为信息农业。E\|mail: yanzhu@njau.edu.cn
  • 作者简介:傅坤亚|硕士研究生|研究方向为农业信息技术。 E\|mail:921186907@qq.com。
  • 基金资助:

    国家自然科学基金项目(31171455;31201127);公益性行业(气象)科研专项(GYHY201106027);江苏省科技支撑计划项目(BE2012386\|1);江苏省农业科技自主创新资金项目(CX(14)2114)资助。

Research Progress on Crop Diseases and Insect Pests Monitoring Based on Spectrum

FU Kun\|ya1,2, ZHANG Wen\|yu2, CAO Hong\|xin2*, ZHU Yan1*, SHAYIRAN·Wai\|li2, ZHANG Wei\|xin2|FENG Chun\|huan1,2   

  1. (1.College of Agronomy, Nanjing Agricultural University, Nanjing 210095|2.Engineering Research Center for Digital Agriculture, Institute of Agricultural Economics and Information, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China)
  • Online:2014-10-15 Published:2014-10-14

摘要:

全球粮食生产每年都因病虫害造成巨大损失,而靠田间人工测定、识别病虫害既费时费力又有滞后性,容易错过最佳防治时期。基于光谱的作物病虫害监测则是一种快速、高效的无损监测方法,可为应对作物生产的分散性、地域性、时空变异性等提供有力支撑。概述了基于光谱的农作物病虫害监测原理,并从光谱成像与非成像两方面详细综述了相关技术的研究进展,并介绍了一些应用于病虫害监测的植被指数,对目前该研究领域存在的问题进行了讨论分析,提出了今后发展与应用的建议。

关键词: 作物;病虫害;光谱;植被指数

Abstract:

Every year crop diseases and pests bring huge losses to global food production. Field artificial measure\|ment and identification are both time consuming and laborious, and it is lag and will easily miss the best control period. Monitoring the crops health status based on spectral data is fast, high efficient and nondestructive, which could provide a powerful support for solving the problems of crop production with dispersiveness, territoriality, spatial and temporal variability. This paper summarized the theory of monitoring crop diseases and insect pests by spectrum, and reviews in detail the research progresses achieved in relevant technology from 2 aspects of imaging and non\|imaging spectrum. It also introduced some vegetation indices for monitoring diseases and insects. Before ending, the paper discussed and analyzed the problems existing in this research field, and put forward suggestions for future development and application of spectrum monitoring technique.

Key words: crops, diseases and insect pests, spectrum, vegetation index

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