Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution. - Hassan Awada; Giuseppe Ciraolo; Antonino Maltese; Giuseppe Provenzano; Miguel Angel Moreno Hidalgo; Juan Ignacio Còrcoles (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Internet of Things and Artificial Intelligence for Sustainable Agriculture: A Use Case in Citrus Orchards. - Antonino Pagano; Federico Amato; Matteo Ippolito; Dario De Caro; Daniele Croce; Antonio Motisi; Giuseppe Provenzano; Ilenia Tinnirello (WF-IoT, 2023)

Design, development, and assessment of a High-Throughput Screening (HTS) system for the macroscopic root water uptake modeling. - Àngela Puig-Sirera; Lorenzo Bonzi; Lorenzo Cotrozzi; Fatma Hamouda; Alessandra Marchica; Giuseppe Provenzano; Damiano Remorini; Giovanni Rallo (Comput. Electron. Agric., 2023)

Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation. - Antonino Pagano; Federico Amato; Matteo Ippolito; Dario De Caro; Daniele Croce; Antonio Motisi; Giuseppe Provenzano; Ilenia Tinnirello (Ecol. Informatics, 2023)