A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
复制标题
近三十年来高光谱植物病害检测先进技术与发展回顾
DOI：
10.3390/rs12193188
复制
发表时间：
2020-09
期刊：
影响因子：
5
通讯作者：
Chunjiang Zhao
中科院分区：
文献类型：
--
作者：
Ning Zhang;Guijun Yang;Yuchun Pan;Xiaodong Yang;Liping Chen;Chunjiang Zhao
植物病害的检测、量化、诊断和识别对于精准农业尤为重要。近年来，传统的视觉评估技术已经不能满足精准农业信息化发展的需要，高光谱技术作为一种典型的无创评估技术，越来越受到人们的重视。在简要介绍病原菌的种类和寄主与病原菌相互作用过程的基础上，阐述了高光谱技术在植物病害检测中的巨大优势。然后，在描述高光谱疾病分析步骤的过程中，重点对从疾病检测到定性和定量评价的文章、算法和方法进行了综述。此外，根据当前高光谱技术在植物病害检测中存在的主要问题的讨论，我们认为，不同病原体的识别，生物和非生物胁迫的区分，植物病害早期预警和基于卫星的高光谱技术是主要的挑战，并为有针对性的反应铺平了道路。
The detection, quantification, diagnosis, and identification of plant diseases is particularly crucial for precision agriculture. Recently, traditional visual assessment technology has not been able to meet the needs of precision agricultural informatization development, and hyperspectral technology, as a typical type of non-invasive technology, has received increasing attention. On the basis of simply describing the types of pathogens and host–pathogen interaction processes, this review expounds the great advantages of hyperspectral technologies in plant disease detection. Then, in the process of describing the hyperspectral disease analysis steps, the articles, algorithms, and methods from disease detection to qualitative and quantitative evaluation are mainly summarizing. Additionally, according to the discussion of the current major problems in plant disease detection with hyperspectral technologies, we propose that different pathogens’ identification, biotic and abiotic stresses discrimination, plant disease early warning, and satellite-based hyperspectral technology are the primary challenges and pave the way for a targeted response.
登录
查看更多内容
影响因子：
5.1
作者：
Lowe A;Harrison N;French AP
通讯作者：
French AP
使用基于无人机的高光谱图像评估油松毛虫 Tsai 和 Liu 灾害爆发期间的落叶情况
影响因子：
13.5
作者：
Zhang Ning;Zhang Xiaoli;Yang Guijun;Zhu Chenghao;Huo Langning;Feng Haikuan
通讯作者：
Feng Haikuan
影响因子：
3.7
作者：
S. S. Brody-S.
通讯作者：
S. S. Brody-S.
影响因子：
5.6
作者：
Polder, Gerrit;Blok, Pieter M.;Kamp, Jan
通讯作者：
Kamp, Jan
DOI：
10.1525/9780520943728-175
发表时间：
2019-12
期刊：
Encyclopedia of Islands
影响因子：
--
作者：
B. E. Giles;L. Ericson;U. Carlsson-Granér
通讯作者：
B. E. Giles;L. Ericson;U. Carlsson-Granér