CORTEXA
← Browse

Nicola Sabatini

1 paper indexed

crossrefForests2025-04-28Cited by 5

Preliminary Machine Learning-Based Classification of Ink Disease in Chestnut Orchards Using High-Resolution Multispectral Imagery from Unmanned Aerial Vehicles: A Comparison of Vegetation Indices and Classifiers

Lorenzo Arcidiaco, Roberto Danti, Manuela Corongiu, Giovanni Emiliani, Arcangela Frascella, Antonietta Mello, et al.

Ink disease, primarily caused by the pathogen Phytophthora xcambivora, significantly threatens the health and productivity of sweet chestnut (Castanea sativa Mill.) orchards, highlighting the need for accurate detection methods. This study investigates the efficacy of machine lea…

View free PDFSource page