Garofalo, S.P.; Modugno, A.F.; De Carolis, G.; Sanitate, N.; Negash Tesemma, M.; Scarascia-Mugnozza, G.; Tekle Tegegne, Y.; Campi, P.
Explainable Artificial Intelligence to Predict the Water Status of Cotton (Gossypium hirsutum L., 1763) from Sentinel-2 Images in the Mediterranean Area. Plants 2024, 13, 3325.
https://doi.org/10.3390/plants13233325
AMA Style
Garofalo SP, Modugno AF, De Carolis G, Sanitate N, Negash Tesemma M, Scarascia-Mugnozza G, Tekle Tegegne Y, Campi P.
Explainable Artificial Intelligence to Predict the Water Status of Cotton (Gossypium hirsutum L., 1763) from Sentinel-2 Images in the Mediterranean Area. Plants. 2024; 13(23):3325.
https://doi.org/10.3390/plants13233325
Chicago/Turabian Style
Garofalo, Simone Pietro, Anna Francesca Modugno, Gabriele De Carolis, Nicola Sanitate, Mesele Negash Tesemma, Giuseppe Scarascia-Mugnozza, Yitagesu Tekle Tegegne, and Pasquale Campi.
2024. "Explainable Artificial Intelligence to Predict the Water Status of Cotton (Gossypium hirsutum L., 1763) from Sentinel-2 Images in the Mediterranean Area" Plants 13, no. 23: 3325.
https://doi.org/10.3390/plants13233325
APA Style
Garofalo, S. P., Modugno, A. F., De Carolis, G., Sanitate, N., Negash Tesemma, M., Scarascia-Mugnozza, G., Tekle Tegegne, Y., & Campi, P.
(2024). Explainable Artificial Intelligence to Predict the Water Status of Cotton (Gossypium hirsutum L., 1763) from Sentinel-2 Images in the Mediterranean Area. Plants, 13(23), 3325.
https://doi.org/10.3390/plants13233325
