DACCACHE, ANDRE
DACCACHE, ANDRE
Istituto per la Protezione Sostenibile delle Piante - IPSP - Sede Secondaria Sesto Fiorentino (FI)
Convolutional neural networks for accurate estimation of canopy cover
2025 Puig, F.; Gonzalez Perea, R.; Daccache, A.; Soriano, M. A.; Rodriguez Diaz, J. A.
Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning
2025 Araghi, Alireza; Daccache, Andre
FIELD PHENOTYPING: REMOTE AND PROXIMAL HIGH-THROUGHPUT PLATFORMS IN SOUTHERN ITALY
2024 Marino, Giovanni; Haworth, Matthew; Montesano, Vincenzo; Conte, Adriano; Danzi, Donatella; Atzori, Giulia; Daccache, Andre’; PIERRE MARIE FABBRI, André; Cellini, Francesco; Centritto, Mauro
PHENOTYPING THE IMPACT OF WATER DEFICIT ON DIVERSE CANNABIS SATIVA GENOTYPES
2024 Montesano, Vincenzo; Marino, Giovanni; Haworth, Matthew; Conte, Adriano; Danzi, Donatella; Atzori, Giulia; Daccache, Andre’; Fabbri, André; Balestrini, Raffaella; Centritto, Mauro
Plant-based and remote sensing for water status monitoring of orchard crops: Systematic review and meta-analysis
2024 Velazquez-Chavez, L. J.; Daccache, A.; Mohamed, A. Z.; Centritto, M.
SolarET: A generalizable machine learning approach to estimate reference evapotranspiration from solar radiation
2024 Ahmadi, A.; Kazemi, M. H.; Daccache, A.; Snyder, R. L.
Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping
2023 Haworth, M; Marino, G; Atzori, G; Fabbri, A; Daccache, A; Killi, D; Carli, A; Montesano, V; Conte, A; Balestrini, R; Centritto, M
Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency
2023 Ahmadi, A.; Daccache, A.; Sadegh, M.; Snyder, R. L.
County-Level Irrigation Water Demand Estimation Using Machine Learning: Case Study of California
2022 Emami, M.; Ahmadi, A.; Daccache, A.; Nazif, S.; Mousavi, S. -F.; Karami, H.
Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis
2022 Ahmadi, A.; Olyaei, M.; Heydari, Z.; Emami, M.; Zeynolabedin, A.; Ghomlaghi, A.; Daccache, A.; Fogg, G. E.; Sadegh, M.
Meteorological driving forces of reference evapotranspiration and their trends in California
2022 Ahmadi, A.; Daccache, A.; Snyder, R. L.; Suvocarev, K.
Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective
2022 He, Liuyue; Xu, Zhenci; Wang, Sufen; Bao, Jianxia; Fan, Yunfei; Daccache, Andre
Actual evapotranspiration from UAV images: A multi-sensor data fusion approach
2021 Mokhtari, A.; Ahmadi, A.; Daccache, A.; Drechsler, K.
Internet of Things (IoT) for double ring infiltrometer automation
2021 Abdelmoneim, A. A.; Daccache, A.; Khadra, R.; Bhanot, M.; Dragonetti, G.
Development and Application of a Predictive Model for Treated Wastewater Irrigation Management in a Semiarid Area
2020 Dragonetti, G.; Khadra, R.; Daccache, A.; Oubelkacem, A.; Choukr-Allah, R.; Lamaddalena, N.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Convolutional neural networks for accurate estimation of canopy cover | 1-gen-2025 | Puig, F.; Gonzalez Perea, R.; Daccache, A.; Soriano, M. A.; Rodriguez Diaz, J. A. | |
| Remote sensing and TerraClimate datasets for wheat yield prediction using machine learning | 1-gen-2025 | Araghi, Alireza; Daccache, Andre | |
| FIELD PHENOTYPING: REMOTE AND PROXIMAL HIGH-THROUGHPUT PLATFORMS IN SOUTHERN ITALY | 1-gen-2024 | Marino, Giovanni; Haworth, Matthew; Montesano, Vincenzo; Conte, Adriano; Danzi, Donatella; Atzori, Giulia; Daccache, Andre’; PIERRE MARIE FABBRI, André; Cellini, Francesco; Centritto, Mauro | |
| PHENOTYPING THE IMPACT OF WATER DEFICIT ON DIVERSE CANNABIS SATIVA GENOTYPES | 1-gen-2024 | Montesano, Vincenzo; Marino, Giovanni; Haworth, Matthew; Conte, Adriano; Danzi, Donatella; Atzori, Giulia; Daccache, Andre’; Fabbri, André; Balestrini, Raffaella; Centritto, Mauro | |
| Plant-based and remote sensing for water status monitoring of orchard crops: Systematic review and meta-analysis | 1-gen-2024 | Velazquez-Chavez, L. J.; Daccache, A.; Mohamed, A. Z.; Centritto, M. | |
| SolarET: A generalizable machine learning approach to estimate reference evapotranspiration from solar radiation | 1-gen-2024 | Ahmadi, A.; Kazemi, M. H.; Daccache, A.; Snyder, R. L. | |
| Plant Physiological Analysis to Overcome Limitations to Plant Phenotyping | 1-gen-2023 | Haworth, M; Marino, G; Atzori, G; Fabbri, A; Daccache, A; Killi, D; Carli, A; Montesano, V; Conte, A; Balestrini, R; Centritto, M | |
| Statistical and deep learning models for reference evapotranspiration time series forecasting: A comparison of accuracy, complexity, and data efficiency | 1-gen-2023 | Ahmadi, A.; Daccache, A.; Sadegh, M.; Snyder, R. L. | |
| County-Level Irrigation Water Demand Estimation Using Machine Learning: Case Study of California | 1-gen-2022 | Emami, M.; Ahmadi, A.; Daccache, A.; Nazif, S.; Mousavi, S. -F.; Karami, H. | |
| Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis | 1-gen-2022 | Ahmadi, A.; Olyaei, M.; Heydari, Z.; Emami, M.; Zeynolabedin, A.; Ghomlaghi, A.; Daccache, A.; Fogg, G. E.; Sadegh, M. | |
| Meteorological driving forces of reference evapotranspiration and their trends in California | 1-gen-2022 | Ahmadi, A.; Daccache, A.; Snyder, R. L.; Suvocarev, K. | |
| Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective | 1-gen-2022 | He, Liuyue; Xu, Zhenci; Wang, Sufen; Bao, Jianxia; Fan, Yunfei; Daccache, Andre | |
| Actual evapotranspiration from UAV images: A multi-sensor data fusion approach | 1-gen-2021 | Mokhtari, A.; Ahmadi, A.; Daccache, A.; Drechsler, K. | |
| Internet of Things (IoT) for double ring infiltrometer automation | 1-gen-2021 | Abdelmoneim, A. A.; Daccache, A.; Khadra, R.; Bhanot, M.; Dragonetti, G. | |
| Development and Application of a Predictive Model for Treated Wastewater Irrigation Management in a Semiarid Area | 1-gen-2020 | Dragonetti, G.; Khadra, R.; Daccache, A.; Oubelkacem, A.; Choukr-Allah, R.; Lamaddalena, N. |