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Gabriele Penzotti
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2020 – today
- 2024
- [c7]Gabriele Penzotti
, Michele Amoretti
, Stefano Caselli
:
Enabling Precision Irrigation Through a Hierarchical Edge-to-Cloud System. AINA (5) 2024: 277-286 - [c6]Gabriele Penzotti, Natalia Teresa Mazzara, Tommaso Letterio, Michele Amoretti, Stefano Caselli:
An Edge-to-Cloud System enabling Geospatial Machine Learning for Soil-Plant Moisture Classification. PDP 2024: 132-136 - 2023
- [j2]Gabriele Penzotti
, Dario Lodi Rizzini
, Stefano Caselli
:
A planning strategy for sprinkler-based variable rate irrigation. Comput. Electron. Agric. 212: 108126 (2023) - 2022
- [c5]Gabriele Penzotti, Davide Tarasconi, Stefano Caselli, Michele Amoretti:
Seamless Sensor Data Acquisition for the Edge-to-Cloud Continuum. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-8 - [c4]Michele Amoretti, Alexandru Budianu, Gianluca Caparra
, Felice D'Agruma, Davide Ferrari
, Gabriele Penzotti, Luca Veltri, Francesco Zanichelli:
Enabling Location Based Services with Privacy and Integrity Protection in Untrusted Environments through Blockchain and Secure Computation. TPS-ISA 2022: 114-123 - 2021
- [j1]Andrea Serafini, Matteo Albéri, Michele Amoretti, Stefano Anconelli, Enrico Bucchi, Stefano Caselli, Enrico Chiarelli, Luca Cicala, Tommaso Colonna, Mario De Cesare, Salvatore Gentile, Enrico Guastaldi, Tommaso Letterio, Andrea Maino, Fabio Mantovani, Michele Montuschi, Gabriele Penzotti, Kassandra Giulia Cristina Raptis, Filippo Semenza, Domenico Solimando, Virginia Strati:
Proximal Gamma-Ray Spectroscopy: An Effective Tool to Discern Rain from Irrigation. Remote. Sens. 13(20): 4103 (2021) - [c3]Stefano Cavalli, Gabriele Penzotti
, Michele Amoretti, Stefano Caselli:
A Machine Learning Approach for NDVI Forecasting based on Sentinel-2 Data. ICSOFT 2021: 473-480 - [c2]Gabriele Penzotti
, Stefano Caselli, Michele Amoretti:
An N-Tier Fog Architecture for Smart Farming. ISCC 2021: 1-7 - 2020
- [c1]Michele Amoretti, Dario Lodi Rizzini
, Gabriele Penzotti
, Stefano Caselli:
A Scalable Distributed System for Precision Irrigation. SMARTCOMP 2020: 338-343
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