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A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades

文献类型： 外文期刊

作者： Zhang, Ning 1 ; Yang, Guijun 1 ; Pan, Yuchun 1 ; Yang, Xiaodong 1 ; Chen, Liping 6 ; Zhao, Chunjiang 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Minist Agr, Key Lab Quantitat Remote Sensing Agr, Beijing 100097, Peoples R China

2.Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

5.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China

6.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

7.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： pathogens; hyperspectral; plant disease detection; advanced technology

期刊名称：REMOTE SENSING （ 影响因子：4.848； 五年影响因子：5.353 ）

ISSN：

年卷期： 2020 年 12 卷 19 期

页码：

收录情况： SCI

摘要： 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.

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