Giannico, V.; Garofalo, S.P.; Brillante, L.; Sciusco, P.; Elia, M.; Lopriore, G.; Camposeo, S.; Lafortezza, R.; Sanesi, G.; Vivaldi, G.A.
Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions. Remote Sens. 2024, 16, 4784.
https://doi.org/10.3390/rs16244784
AMA Style
Giannico V, Garofalo SP, Brillante L, Sciusco P, Elia M, Lopriore G, Camposeo S, Lafortezza R, Sanesi G, Vivaldi GA.
Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions. Remote Sensing. 2024; 16(24):4784.
https://doi.org/10.3390/rs16244784
Chicago/Turabian Style
Giannico, Vincenzo, Simone Pietro Garofalo, Luca Brillante, Pietro Sciusco, Mario Elia, Giuseppe Lopriore, Salvatore Camposeo, Raffaele Lafortezza, Giovanni Sanesi, and Gaetano Alessandro Vivaldi.
2024. "Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions" Remote Sensing 16, no. 24: 4784.
https://doi.org/10.3390/rs16244784
APA Style
Giannico, V., Garofalo, S. P., Brillante, L., Sciusco, P., Elia, M., Lopriore, G., Camposeo, S., Lafortezza, R., Sanesi, G., & Vivaldi, G. A.
(2024). Temporal Vine Water Status Modeling Through Machine Learning Ensemble Technique and Sentinel-2 Multispectral Images Under Semi-Arid Conditions. Remote Sensing, 16(24), 4784.
https://doi.org/10.3390/rs16244784
