The implementation of novel precision viticulture approaches is a pivotal research topic for accurately assessing spatial and temporal variability of the water resource in rainfed fields. In this view, the SOSVITE project aims to model the hydrological status of the vineyard by integrating data derived from different proximal and remote sensing technologies. The methodology applied in this study to disentangle the vines' signal from that of spontaneous grass from satellite data has the potential to accurately estimate the dynamics of water-related plant parameters which, together with in-situ pedo-climatic measurements, can serve as input of existing growth models. Therefore, this study represents the first step towards the development of a decision support system for guiding winegrowers in the adoption of proper management techniques to face with the expected scarcity of water due to climate change in the Mediterranean basin.

Implementation of integrated technologies for hydrological modeling in Mediterranean viticulture: the SOSVITE project / Rossi, Riccardo; Dibari, Camilla; Padovan, Gloria; Staglianò, Nicolina; Balingit, Anna Rita; Bindi, Marco; Costafreda-Aumedes, Sergi; Chiesi, Marta; Maselli, Fabio; Moriondo, Marco. - STAMPA. - (2023), pp. 521-525. ( 2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023 Pisa (Italy) 6 November 2023 - 8 November 2023) [10.1109/metroagrifor58484.2023.10424295].

Implementation of integrated technologies for hydrological modeling in Mediterranean viticulture: the SOSVITE project

Rossi, Riccardo;Dibari, Camilla;Padovan, Gloria;Staglianò, Nicolina;Balingit, Anna Rita;Bindi, Marco;
2023

Abstract

The implementation of novel precision viticulture approaches is a pivotal research topic for accurately assessing spatial and temporal variability of the water resource in rainfed fields. In this view, the SOSVITE project aims to model the hydrological status of the vineyard by integrating data derived from different proximal and remote sensing technologies. The methodology applied in this study to disentangle the vines' signal from that of spontaneous grass from satellite data has the potential to accurately estimate the dynamics of water-related plant parameters which, together with in-situ pedo-climatic measurements, can serve as input of existing growth models. Therefore, this study represents the first step towards the development of a decision support system for guiding winegrowers in the adoption of proper management techniques to face with the expected scarcity of water due to climate change in the Mediterranean basin.
2023
2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023 - Proceedings
2023 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2023
Pisa (Italy)
6 November 2023 - 8 November 2023
Goal 13: Climate action
Goal 15: Life on land
Rossi, Riccardo; Dibari, Camilla; Padovan, Gloria; Staglianò, Nicolina; Balingit, Anna Rita; Bindi, Marco; Costafreda-Aumedes, Sergi; Chiesi, Marta; M...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1456612
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