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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Carrie J. Fearer, Anna O. Conrad, Robert E. Marra, Caroline Georskey, Caterina Villari, Jason Slot, Pierluigi Bonello
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Frontiers Media S.A. 2022-07-01
Σειρά:	Frontiers in Forests and Global Change
Θέματα:	spectroscopy beech leaf disease machine learning early detection Fagus grandifolia predictive modeling
Διαθέσιμο Online:	https://www.frontiersin.org/articles/10.3389/ffgc.2022.934545/full
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