Toward an Operational System for Automatically Detecting <i>Xylella fastidiosa</i> in Olive Groves Based on Hyperspectral and Thermal Remote Sensing Data

Toward an Operational System for Automatically Detecting <i>Xylella fastidiosa</i> in Olive Groves Based on Hyperspectral and Thermal Remote Sensing Data

<i>Xylella fastidiosa</i> (<i>Xf</i>) is a pathogenic bacterium which causes severe damage to plants and has been detected in various countries, including Italy, France, Portugal, Spain, Lebanon, Iran, and Israel. In Europe, the first outbreak was observed in olive plants in...

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Main Authors: Annarita D’Addabbo, Raffaella Matarrese, Francesco Lovergine, Alberto Refice, Antonella Belmonte, Fabio Bovenga, Antonia Gallo, Serafina Serena Amoia, Raied Abou Kubaa, Giovanni Mita, Donato Boscia
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
hyperspectral imagery
thermal imagery
<i>Xylella fastidiosa</i>
machine learning
airborne
Online Access:https://www.mdpi.com/2072-4292/17/8/1372
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