Matteo Ippolito

Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data

M. Minacapilli, G. Ciraolo, G. Provenzano, 2022, Irrigation Science.

Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation

I. Tinnirello, D. Croce, G. Provenzano, 2023, Ecol. Informatics.

Comparing the use of ERA5 reanalysis dataset and ground-based agrometeorological data under different climates and topography in Italy

G. D’Urso, G. Provenzano, A. Toscano, 2022, Journal of Hydrology: Regional Studies.

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

C. Almeida, Matteo Ippolito, Caio Sérgio Pereira de Araújo, 2022, Environmental Monitoring and Assessment.

Evaluation of daily crop reference evapotranspiration and sensitivity analysis of FAO Penman-Monteith equation using ERA5-Land reanalysis database in Sicily, Italy

G. Ciraolo, Matteo Ippolito, Dario De Caro, 2024, Agricultural Water Management.

Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using ground and remotely sensed data

G. Ciraolo, Matteo Ippolito, Dario De Caro, 2023, Agricultural Water Management.