A combined approach for early in-field detection of beech leaf disease using near-infrared spectroscopy and machine learning

The ability to detect diseased trees before symptoms emerge is key in forest health management because it allows for more timely and targeted intervention. The objective of this study was to develop an in-field approach for early and rapid detection of beech leaf disease (BLD), an emerging disease o...

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Autors principals:	Carrie J. Fearer, Anna O. Conrad, Robert E. Marra, Caroline Georskey, Caterina Villari, Jason Slot, Pierluigi Bonello
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-07-01
Col·lecció:	Frontiers in Forests and Global Change
Matèries:	spectroscopy beech leaf disease machine learning early detection Fagus grandifolia predictive modeling
Accés en línia:	https://www.frontiersin.org/articles/10.3389/ffgc.2022.934545/full
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