TOSCANO, PIERO
TOSCANO, PIERO
Istituto per la BioEconomia - IBE
Aggiornamento 1/25 Progetto Barilla Agrosat+
2025 Martinelli, M.; Moroni, D.; Dainelli, R.; Toscano, P.
Biochar effects on durum wheat (Triticum durum) under ambient and elevated atmospheric CO2
2025 Brilli, Lorenzo; Badeck, Franz-Werner; Genesio, Lorenzo; Baronti, Silvia; Rizza, Fulvia; Fares, Clara; Cattivelli, Luigi; Miglietta, Franco; Maienza, Anita; Zaldei, Alessandro; Camin, Federica; Motzo, Rosella; Toscano, Piero
A geospatial approach for evaluating impact and potentiality of conservation farming for soil health improvement at regional and farm scale
2024 Castaldi, Fabio; Buttafuoco, Gabriele; Bertinaria, Flavio; Toscano, Piero
Changing climate, shifting mycotoxins: A comprehensive review of climate change impact on mycotoxin contamination
2024 Casu, A.; Camardo Leggieri, M.; Toscano, P.; Battilani, P.
GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat
2024 Dainelli, Riccardo; Bruno, Antonio; Martinelli, Massimo; Moroni, Davide; Rocchi, Leandro; Morelli, Silvia; Ferrari, Emilio; Silvestri, Marco; Agostinelli, Simone; La Cava, Paolo; Toscano, Piero
Improving PRISMA hyperspectral spatial resolution and geolocation by using Sentinel-2: development and test of an operational procedure in urban and rural areas
2024 DE LUCA, Giandomenico; Carotenuto, Federico; Genesio, Lorenzo; Pepe, Monica; Toscano, Piero; Boschetti, Mirco; Miglietta, Franco; Gioli, Beniamino
Long-term investigation of methane and carbon dioxide emissions in two Italian landfills
2024 Brilli, L.; Toscano, P.; Carotenuto, F.; Di Lonardo, S.; Di Tommasi, P.; Magliulo, V.; Manco, A.; Vitale, L.; Zaldei, A.; Gioli, B.
Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations
2024 Parigi, Lorenzo; Candiani, Gabriele; Gallo, Ignazio; Toscano, Piero; Boschetti, Mirco
Towards Sustainable Agriculture: Classifying the Environmental Impact of Italian Wheat Farming
2024 Giulioni, Gianfranco; Cardillo, Concetta; Del Signore, Antonella; DI GIUSEPPE, Edmondo; DI PAOLA, Arianna; Gattone, Antonio; Pasqui, Massimiliano; Quaresima, Sara; Simonetti, Marco; Toscano, Piero
A phenotyping weeds image dataset for open scientific research
2023 Dainelli, R; Martinelli, M; Bruno, A; Moroni, D; Morelli, S; Silvestri, M; Ferrari, E; Rocchi, L; Toscano, P
Artificial intelligence for image classification of wheat's phytopathologies, pests and infestants
2023 Bruno, A; Martinelli, M; Moroni, D; Rocchi, L; Morelli, S; Ferrari, E; Toscano, P; Dainelli, R
Hyperspectral proximal sensing and machine learning techniques to estimate wheat nutritional status for digital agriculture application
2023 Boschetti M ; Crema A ; Candiani G ; Ranghetti M ; Heidarian R ; Parigi L ; Ragaglini G; Carotenuto F ; Gioli B ; Dainelli R ; Toscano P
Improving plant disease classification by adaptive minimal ensembling
2023 Bruno, A; Moroni, D; Dainelli, R; Rocchi, L; Toscano, P; Morelli, S; Ferrari, E; Martinelli, M
Missing plant detection in vineyards using UAV angled RGB imagery acquired in dormant period
2023 DI GENNARO, SALVATORE FILIPPO; Vannini, Gl; Berton, A; Dainelli, R; Toscano, P; Matese, A
Recognition of weeds in cereals using AI architecture
2023 Dainelli R.; Martinelli M.; Bruno A.; Moroni D.; Morelli S.; Silvestri M.; Ferrari E.; Rocchi L.; Toscano P.
Barilla Agrosat+: Comunicazioni
2022 Pardini F.; Bruno A.; Dainelli R.; Rocchi L.; Moroni D.; Toscano P.; Martinelli M.
Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms
2022 Son, N. -T.; Chen, C. -F.; Cheng, Y. -S.; Toscano, P.; Chen, C. -R.; Chen, S. -L.; Tseng, K. -H.; Syu, C. -H.; Guo, H. -Y.; Zhang, Y. -T.
Granoscan: una app basata sull'intelligenza artificiale per l'agricoltura sostenibile
2022 Pardini F.; Bruno A.; Morelli S.; Toscano P.; Moroni D.; Martinelli M.
Improving plant disease classification by adaptive minimal ensembling
2022 Bruno A.; Moroni D.; Dainelli R.; Rocchi L.; Toscano P.; Morelli S.; Ferrari E.; Martinelli M.
Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield
2022 Dainelli, Riccardo; Calmanti, Sandro; Pasqui, Massimiliano; Rocchi, Leandro; DI GIUSEPPE, Edmondo; Monotti, Chiara; Quaresima, Sara; Matese, Alessandro; DI GENNARO, SALVATORE FILIPPO; Toscano, Piero
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Aggiornamento 1/25 Progetto Barilla Agrosat+ | 1-gen-2025 | Martinelli, M.; Moroni, D.; Dainelli, R.; Toscano, P. | |
| Biochar effects on durum wheat (Triticum durum) under ambient and elevated atmospheric CO2 | 1-gen-2025 | Brilli, Lorenzo; Badeck, Franz-Werner; Genesio, Lorenzo; Baronti, Silvia; Rizza, Fulvia; Fares, Clara; Cattivelli, Luigi; Miglietta, Franco; Maienza, Anita; Zaldei, Alessandro; Camin, Federica; Motzo, Rosella; Toscano, Piero | |
| A geospatial approach for evaluating impact and potentiality of conservation farming for soil health improvement at regional and farm scale | 1-gen-2024 | Castaldi, Fabio; Buttafuoco, Gabriele; Bertinaria, Flavio; Toscano, Piero | |
| Changing climate, shifting mycotoxins: A comprehensive review of climate change impact on mycotoxin contamination | 1-gen-2024 | Casu, A.; Camardo Leggieri, M.; Toscano, P.; Battilani, P. | |
| GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat | 1-gen-2024 | Dainelli, Riccardo; Bruno, Antonio; Martinelli, Massimo; Moroni, Davide; Rocchi, Leandro; Morelli, Silvia; Ferrari, Emilio; Silvestri, Marco; Agostinelli, Simone; La Cava, Paolo; Toscano, Piero | |
| Improving PRISMA hyperspectral spatial resolution and geolocation by using Sentinel-2: development and test of an operational procedure in urban and rural areas | 1-gen-2024 | DE LUCA, Giandomenico; Carotenuto, Federico; Genesio, Lorenzo; Pepe, Monica; Toscano, Piero; Boschetti, Mirco; Miglietta, Franco; Gioli, Beniamino | |
| Long-term investigation of methane and carbon dioxide emissions in two Italian landfills | 1-gen-2024 | Brilli, L.; Toscano, P.; Carotenuto, F.; Di Lonardo, S.; Di Tommasi, P.; Magliulo, V.; Manco, A.; Vitale, L.; Zaldei, A.; Gioli, B. | |
| Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations | 1-gen-2024 | Parigi, Lorenzo; Candiani, Gabriele; Gallo, Ignazio; Toscano, Piero; Boschetti, Mirco | |
| Towards Sustainable Agriculture: Classifying the Environmental Impact of Italian Wheat Farming | 1-gen-2024 | Giulioni, Gianfranco; Cardillo, Concetta; Del Signore, Antonella; DI GIUSEPPE, Edmondo; DI PAOLA, Arianna; Gattone, Antonio; Pasqui, Massimiliano; Quaresima, Sara; Simonetti, Marco; Toscano, Piero | |
| A phenotyping weeds image dataset for open scientific research | 1-gen-2023 | Dainelli, R; Martinelli, M; Bruno, A; Moroni, D; Morelli, S; Silvestri, M; Ferrari, E; Rocchi, L; Toscano, P | |
| Artificial intelligence for image classification of wheat's phytopathologies, pests and infestants | 1-gen-2023 | Bruno, A; Martinelli, M; Moroni, D; Rocchi, L; Morelli, S; Ferrari, E; Toscano, P; Dainelli, R | |
| Hyperspectral proximal sensing and machine learning techniques to estimate wheat nutritional status for digital agriculture application | 1-gen-2023 | Boschetti M ; Crema A ; Candiani G ; Ranghetti M ; Heidarian R ; Parigi L ; Ragaglini G; Carotenuto F ; Gioli B ; Dainelli R ; Toscano P | |
| Improving plant disease classification by adaptive minimal ensembling | 1-gen-2023 | Bruno, A; Moroni, D; Dainelli, R; Rocchi, L; Toscano, P; Morelli, S; Ferrari, E; Martinelli, M | |
| Missing plant detection in vineyards using UAV angled RGB imagery acquired in dormant period | 1-gen-2023 | DI GENNARO, SALVATORE FILIPPO; Vannini, Gl; Berton, A; Dainelli, R; Toscano, P; Matese, A | |
| Recognition of weeds in cereals using AI architecture | 1-gen-2023 | Dainelli R.; Martinelli M.; Bruno A.; Moroni D.; Morelli S.; Silvestri M.; Ferrari E.; Rocchi L.; Toscano P. | |
| Barilla Agrosat+: Comunicazioni | 1-gen-2022 | Pardini F.; Bruno A.; Dainelli R.; Rocchi L.; Moroni D.; Toscano P.; Martinelli M. | |
| Field-scale rice yield prediction from Sentinel-2 monthly image composites using machine learning algorithms | 1-gen-2022 | Son, N. -T.; Chen, C. -F.; Cheng, Y. -S.; Toscano, P.; Chen, C. -R.; Chen, S. -L.; Tseng, K. -H.; Syu, C. -H.; Guo, H. -Y.; Zhang, Y. -T. | |
| Granoscan: una app basata sull'intelligenza artificiale per l'agricoltura sostenibile | 1-gen-2022 | Pardini F.; Bruno A.; Morelli S.; Toscano P.; Moroni D.; Martinelli M. | |
| Improving plant disease classification by adaptive minimal ensembling | 1-gen-2022 | Bruno A.; Moroni D.; Dainelli R.; Rocchi L.; Toscano P.; Morelli S.; Ferrari E.; Martinelli M. | |
| Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield | 1-gen-2022 | Dainelli, Riccardo; Calmanti, Sandro; Pasqui, Massimiliano; Rocchi, Leandro; DI GIUSEPPE, Edmondo; Monotti, Chiara; Quaresima, Sara; Matese, Alessandro; DI GENNARO, SALVATORE FILIPPO; Toscano, Piero |