| 2026 |
Machine learning models for actual crop coefficient estimation on sensor-less fields |
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| 2026 |
Integrating remote sensing and data-driven machine learning for monitoring Ailanthus altissima in heterogeneous Mediterranean landscapes: a case study from Sicily |
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| 2025 |
Investigating Root Intrusion in Subsurface Drip Irrigation Systems: A Comparative Study |
Abstract in atti di convegno pubblicato in rivista |
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| 2025 |
ALIAS: a smart classifier for monitoring Ailanthus altissima expansion in hydrologically sensitive areas |
Abstract in atti di convegno pubblicato in volume |
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| 2025 |
ALIAS: A Remote Sensing Approach to Monitor Ailanthus altissima Invasion and its Ecohydrological Impacts |
Abstract in atti di convegno pubblicato in volume |
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| 2025 |
A machine learning framework to estimate crop coefficient dynamics of citrus orchards |
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| 2025 |
Assessment of AquaCrop Inputs from ERA5-Land and Sentinel-2 for Soil Water Content Estimation and Durum Wheat Yield Prediction: A Case Study in a Tunisian Field |
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| 2025 |
High-resolution spatially interpolated FAO Penman-Monteith crop reference evapotranspiration maps of Sicily Island (Italy) and Jucar River system (Spain) using AgERA5 and ERA5-Land reanalysis datasets |
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| 2024 |
Evaluation of daily crop reference evapotranspiration and sensitivity analysis of FAO Penman-Monteith equation using ERA5-Land reanalysis database in Sicily, Italy |
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| 2024 |
Encroachment analysis of the invasive tree species Ailanthus altissima in Sicily (Italy) through an Ecohydrological cellular automata model |
Abstract in atti di convegno pubblicato in volume |
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| 2024 |
A fully remote sensing-based implementation of the two-source energy balance model: an application over Mediterranean crops |
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| 2024 |
IL LABORATORIO A CIELO APERTO DEL PROF. PROVENZANO NEL CAMPO DI VILLABATE: INTEGRAZIONE DI NUOVE TECNOLOGIE PER LA GESTIONE DELLʹIRRIGAZIONE TRAMITE SENSORI |
Contributo in atti di convegno pubblicato in volume |
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| 2023 |
Distributed FAO56 Agro-Hydrological model for irrigation scheduling in olives orchards |
Contributo in atti di convegno pubblicato in volume |
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| 2023 |
Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation |
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| 2023 |
Internet of Things and Artificial Intelligence for Sustainable Agriculture: A Use Case in Citrus Orchards |
Contributo in atti di convegno pubblicato in volume |
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| 2023 |
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 |
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| 2023 |
Estimating crop coefficients and actual evapotranspiration in citrus orchards with sporadic cover weeds based on ground and remote sensing data |
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