Use of satellite-based phenometrics, geophysical soil data and a semi-distributed agro-hydrological model for variable-rate irrigation management in a maize farm in northern Italy
Contributo in Atti di convegno
Data di Pubblicazione:
2022
Citazione:
Use of satellite-based phenometrics, geophysical soil data and a semi-distributed agro-hydrological model for variable-rate irrigation management in a maize farm in northern Italy / A. Mayer, B. Ortuani, M. De Peppo, F. Nutini, A. Crema, M. Boschetti, G. Ragaglini, A. Facchi - In: 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)Prima edizione. - [s.l] : IEEE, 2022. - ISBN 9781665469982. - pp. 64-69 (( convegno Workshop on Metrology for Agriculture and Forestry, MetroAgriFor tenutosi a Perugia nel 2022 [10.1109/MetroAgriFor55389.2022.9964911].
Abstract:
In the most recent agricultural seasons water scarcity problems in many areas of the Po plain had become more frequent; thus, the introduction of irrigation-saving methods and technologies is becoming essential, especially in areas that cannot benefit from a large availability of surface water resources. In the context of precision irrigation, aimed at increasing water and energy productivity at the farm scale by operating a spatial and temporal variable-rate irrigation if needed, agro-hydrological models play a crucial role. In this study, remote-sensed phenometrics and biophysical crop parameters, and delineation of homogeneous management zones through an electromagnetic induction (EMI) sensor, were used to parametrize a semi-distributed mechanistic agro-hydrological model in the case of a 300-ha maize farm located in Brescia (northern Italy). The modelling system was applied to simulate irrigation use in the current situation and in the case of an optimized and variable rate irrigation management. Average results for the period 2016-2020 showed a water and energy saving of about 20% in the case of the optimized irrigation management, confirmed by savings achieved in a pilot pivot in which the modelling procedure was used in 2021 to support the irrigation scheduling in combination with 7-days weather forecast data.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
agro-hydrological model; geophysical soil data; pivot; precision irrigation; remotely-sensed phenometrics
Elenco autori:
A. Mayer, B. Ortuani, M. De Peppo, F. Nutini, A. Crema, M. Boschetti, G. Ragaglini, A. Facchi
Link alla scheda completa:
Titolo del libro:
2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)