Arcidiaco, L.; Danti, R.; Corongiu, M.; Emiliani, G.; Frascella, A.; Mello, A.; Bonora, L.; Barberini, S.; Pellegrini, D.; Sabatini, N.;
et al. 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. Forests 2025, 16, 754.
https://doi.org/10.3390/f16050754
AMA Style
Arcidiaco L, Danti R, Corongiu M, Emiliani G, Frascella A, Mello A, Bonora L, Barberini S, Pellegrini D, Sabatini N,
et al. 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. Forests. 2025; 16(5):754.
https://doi.org/10.3390/f16050754
Chicago/Turabian Style
Arcidiaco, Lorenzo, Roberto Danti, Manuela Corongiu, Giovanni Emiliani, Arcangela Frascella, Antonietta Mello, Laura Bonora, Sara Barberini, David Pellegrini, Nicola Sabatini,
and et al. 2025. "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" Forests 16, no. 5: 754.
https://doi.org/10.3390/f16050754
APA Style
Arcidiaco, L., Danti, R., Corongiu, M., Emiliani, G., Frascella, A., Mello, A., Bonora, L., Barberini, S., Pellegrini, D., Sabatini, N., & Della Rocca, G.
(2025). 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. Forests, 16(5), 754.
https://doi.org/10.3390/f16050754
