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Jacopo Furlanetto
Jacopo Furlanetto
Post-Doc at the Euro-Mediterranean Center on Climate Change
Подтвержден адрес электронной почты в домене cmcc.it
Название
Процитировано
Процитировано
Год
Identifying N fertilizer management strategies to reduce ammonia volatilization: Towards a site-specific approach
M Mencaroni, N Dal Ferro, J Furlanetto, M Longo, B Lazzaro, L Sartori, ...
Journal of Environmental Management 277, 111445, 2021
592021
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery
J Furlanetto, N Dal Ferro, M Longo, L Sartori, R Polese, D Caceffo, ...
Precision Agriculture 24 (4), 1355-1379, 2023
92023
37. Mapping of hailstorm and strong wind damaged crop areas using LAI estimated from multispectral imagery
J Furlanetto, N Dal Ferro, F Briffaut, L Carotta, R Polese, A Dramis, ...
Precision agriculture'21, 315-321, 2021
52021
Mapping hailstorm damage on winter wheat (Triticum aestivum L.) using a microscale UAV hyperspectral approach
J Furlanetto, N Dal Ferro, D Caceffo, F Morari
Precision Agriculture 25 (2), 681-703, 2024
32024
Optimizing variable rate irrigation using model and satellite-based dynamic prescription maps
C Corbari, D Gabrieli, L Furlan, J Furlanetto, D Skokovic, J Sobrino, ...
Agricultural Water Management 299, 108896, 2024
12024
Leveraging Machine Learning and Artificial Intelligence in Multi-hazard Risk Assessment on River Water Quality
DN Nguyen, J Furlanetto, DM Ferrario, S Torresan, A Critto
AGU24, 2024
2024
Advancing water quality assessment under uncertainties: Multi-risk and multi-scenario analyses in the face of future climate change
DN Nguyen, E Furlan, S Torresan, J Furlanetto, D Canu, ...
EGU General Assembly Conference Abstracts, 9472, 2024
2024
Valutazione dei danni da grandine e vento forte su frumento (Triticum aestivum L.) e mais (Zea mays L.) attraverso tecniche di telerilevamento
J Furlanetto
Università degli studi di Padova, 2024
2024
Hail Yield Damage Mapping and Prediction in Winter Wheat (Triticum aestivum L.) Using NIR Absorption Features from UAV Data
J Furlanetto, N Dal Ferro, D Caceffo, F Morari
ASA, CSSA, SSSA International Annual Meeting, 2023
2023
Optimizing variable rate irrigation using model-based dynamic prescription maps
F Morari, D Gabrieli, L Furlan, J Furlanetto, D Misturini, J Sobrino, ...
EGU General Assembly Conference Abstracts, EGU-2653, 2023
2023
Coupling process-based models and remote sensing data to predict yield loss by hail damage
M Longo, J Furlanetto, N Dal Ferro, D Caceffo, F Morari
EGU General Assembly Conference Abstracts, EGU22-4594, 2022
2022
Spectral mixture analysis to quantity winter wheat (Triticum aestivum L.) damage caused by hailstorms
J Furlanetto, M Longo, L Nicoli, D Caceffo, A Persichetti, F Morari, ...
EGU General Assembly Conference Abstracts, EGU22-4868, 2022
2022
Coupling Hydrus-1D and METRIC models to estimate soil water balance of a highly heterogeneous agricultural field
E Zancanaro, N Dal Ferro, J Furlanetto, M Longo, P Teatini, F Morari
EGU General Assembly Conference Abstracts, EGU21-4307, 2021
2021
Strategies To Reduce Ammonia Volatilization From N Mineral Fertilizers In The Po River Basin, Northern Italy
M Mencaroni, N DAL FERRO, J Furlanetto, M Longo, B Lazzaro, B Grant, ...
Eurosoil 2021, 2021
2021
Ammonia Volatilization Reduction From Mineral N Fertilizers In The Veneto Region: Combining Modeling And Field Approach
M Mencaroni, N Dal Ferro, J Furlanetto, M Longo, B Lazzaro, L Sartori, ...
SIA (Società Italiana di Agronomia) 2020, 2020
2020
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Статьи 1–15