Early Detection of Wild Rocket Tracheofusariosis Using Hyperspectral Image-Based Machine Learning

<i>Fusarium oxysporum</i> f. sp. <i>raphani</i> is responsible for wilting wild rocket (<i>Diplotaxis tenuifolia</i> L. [D.C.]). A machine learning model based on hyperspectral data was constructed to monitor disease progression. Thus, pathogenesis after artificial inoculation was monitored over a 1...

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Auteurs principaux:	Catello Pane, Gelsomina Manganiello, Nicola Nicastro, Francesco Carotenuto
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2021-12-01
Collection:	Remote Sensing
Sujets:	machine learning <i>Diplotaxis tenuifolia</i> <i>Fusarium oxysporum</i> f. sp. <i>raphani</i> precision agriculture qPCR pathogen quantification
Accès en ligne:	https://www.mdpi.com/2072-4292/14/1/84
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