Hyperspectral approaches for rapid and spatial plant disease monitoring-Reference-Cited by-同舟云学术

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Hyperspectral approaches for rapid and spatial plant disease monitoring

Published:2024-06 Issue:6 Volume:29 Page:711-712
ISSN:1360-1385
Container-title:Trends in Plant Science
language:en
Short-container-title:Trends in Plant Science

Author:

Bai Yali,Jin Xiuliang^ORCID

Publisher

Elsevier BV

Reference10 articles.

1. Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations;Zarco-Tejada;Nat. Plants,2019

2. Divergent abiotic spectral pathways unravel pathogen stress signals across species;Zarco-Tejada;Nat. Commun.,2021

3. Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection;Tian;Remote Sens. Environ.,2021

4. Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline;Hornero;Remote Sens. Environ.,2021

5. Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: assessing bandset reduction performance from hyperspectral analysis;Poblete;ISPRS J. Photogramm. Remote Sens.,2020

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