Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis–NIR Spectroscopy

Non-Destructive Early Detection and Quantitative Severity Stage Classification of Tomato Chlorosis Virus (ToCV) Infection in Young Tomato Plants Using Vis–NIR Spectroscopy

Tomato chlorosis virus (ToCV) is a serious, emerging tomato pathogen that has a significant impact on the quality and quantity of tomato production worldwide. Detecting ToCV via means of spectral measurements in an early pre-symptomatic stage offers an alternative to the existing laboratory methods,...

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Bibliographic Details
Main Authors: Antonios Morellos, Georgios Tziotzios, Chrysoula Orfanidou, Xanthoula Eirini Pantazi, Christos Sarantaris, Varvara Maliogka, Thomas K. Alexandridis, Dimitrios Moshou
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
<i>Solanum lycopersicum</i> L.
leaf spectra
vegetation indices
artificial neural networks
machine learning
Online Access:https://www.mdpi.com/2072-4292/12/12/1920

Internet

https://www.mdpi.com/2072-4292/12/12/1920

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