Hyperspectral approaches for rapid and spatial plant disease

被引：4
作者：
Bai, Yali [1 ,2 ,3 ,4 ]
Jin, Xiuliang [1 ,2 ,3 ]
机构：
[1] Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
[2] Chinese Acad Agr Sci, Natl Nanfan Res Inst Sanya, Sanya 572024, Peoples R China
[3] State Key Lab Crop Gene Resources & Breeding, Beijing 100081, Peoples R China
[4] Wageningen Univ & Res, Informat Technol Grp, NL-6706 KN Wageningen, Netherlands
来源：
TRENDS IN PLANT SCIENCE | 2024年 / 29卷 / 06期
基金：
中国国家自然科学基金;
关键词：
INFECTION;
D O I：
10.1016/j.tplants.2024.03.011
中图分类号：
Q94 [植物学];
学科分类号：
071001 ;
摘要：
引用
收藏
页码：711 / 712
页数：2
相关论文
共 10 条
[1]   Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques [J].
Abdulridha, Jaafar ;
Ampatzidis, Yiannis ;
Kakarla, Sri Charan ;
Roberts, Pamela .
PRECISION AGRICULTURE, 2020, 21 (05) :955-978
[2]   Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline [J].
Hornero, A. ;
Zarco-Tejada, P. J. ;
Quero, J. L. ;
North, P. R. J. ;
Ruiz-Gomez, F. J. ;
Sanchez-Cuesta, R. ;
Hernandez-Clemente, R. .
REMOTE SENSING OF ENVIRONMENT, 2021, 263
[3]   Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling [J].
Hornero, A. ;
Hernandez-Clemente, R. ;
North, P. R. J. ;
Beck, P. S. A. ;
Boscia, D. ;
Navas-Cortes, J. A. ;
Zarco-Tejada, P. J. .
REMOTE SENSING OF ENVIRONMENT, 2020, 236
[4]   Detection of symptoms induced by vascular plant pathogens in tree crops using high-resolution satellite data: Modelling and assessment with airborne hyperspectral imagery [J].
Poblete, T. ;
Navas-Cortes, J. A. ;
Hornero, A. ;
Camino, C. ;
Calderon, R. ;
Hernandez-Clemente, R. ;
Landa, B. B. ;
Zarco-Tejada, P. J. .
REMOTE SENSING OF ENVIRONMENT, 2023, 295
[5]   Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis [J].
Poblete, T. ;
Camino, C. ;
Beck, P. S. A. ;
Hornero, A. ;
Kattenborn, T. ;
Saponari, M. ;
Boscia, D. ;
Navas-Cortes, J. A. ;
Zarco-Tejada, P. J. .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 162 :27-40
[6]   A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space [J].
Tian, Long ;
Wang, Ziyi ;
Xue, Bowen ;
Li, Dong ;
Zheng, Hengbiao ;
Yao, Xia ;
Zhu, Yan ;
Cao, Weixing ;
Cheng, Tao .
REMOTE SENSING OF ENVIRONMENT, 2023, 285
[7]   Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection [J].
Tian, Long ;
Xue, Bowen ;
Wang, Ziyi ;
Li, Dong ;
Yao, Xia ;
Cao, Qiang ;
Zhu, Yan ;
Cao, Weixing ;
Cheng, Tao .
REMOTE SENSING OF ENVIRONMENT, 2021, 257
[8]   Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning [J].
Wang, Sheng ;
Guan, Kaiyu ;
Zhang, Chenhui ;
Jiang, Chongya ;
Zhou, Qu ;
Li, Kaiyuan ;
Qin, Ziqi ;
Ainsworth, Elizabeth A. ;
He, Jingrui ;
Wu, Jun ;
Schaefer, Dan ;
Gentry, Lowell E. ;
Margenot, Andrew J. ;
Herzberger, Leo .
REMOTE SENSING OF ENVIRONMENT, 2023, 285
[9]   Divergent abiotic spectral pathways unravel pathogen stress signals across species [J].
Zarco-Tejada, P. J. ;
Poblete, T. ;
Camino, C. ;
Gonzalez-Dugo, V. ;
Calderon, R. ;
Hornero, A. ;
Hernandez-Clemente, R. ;
Roman-ecija, M. ;
Velasco-Amo, M. P. ;
Landa, B. B. ;
Beck, P. S. A. ;
Saponari, M. ;
Boscia, D. ;
Navas-Cortes, J. A. .
NATURE COMMUNICATIONS, 2021, 12 (01)
[10]   Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations [J].
Zarco-Tejada, P. J. ;
Camino, C. ;
Beck, P. S. A. ;
Calderon, R. ;
Hornero, A. ;
Hernandez-Clemente, R. ;
Kattenborn, T. ;
Montes-Borrego, M. ;
Susca, L. ;
Morelli, M. ;
Gonzalez-Dugo, V. ;
North, P. R. J. ;
Landa, B. B. ;
Boscia, D. ;
Saponari, M. ;
Navas-Cortes, J. A. .
NATURE PLANTS, 2018, 4 (07) :432-439
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