Combining Precision Viticulture Technologies and Economic Indices to Sustainable Water Use Management
Adele Finco,
Deborah Bentivoglio,
Giulia Chiaraluce,
Matteo Alberi,
Enrico Chiarelli,
Andrea Maino,
Fabio Mantovani,
Michele Montuschi,
Kassandra Giulia Cristina Raptis,
Filippo Semenza,
Virginia Strati,
Filippo Vurro,
Edoardo Marchetti,
Manuele Bettelli,
Michela Janni,
Emiliano Anceschi,
Carlo Sportolaro,
Giorgia Bucci
Affiliations
Adele Finco
Department of Agricultural, Food and Environmental Sciences (D3A), Polytechnic University of the Marche (UNIVPM), Via Brecce Bianche, 60131 Ancona, Italy
Deborah Bentivoglio
Department of Agricultural, Food and Environmental Sciences (D3A), Polytechnic University of the Marche (UNIVPM), Via Brecce Bianche, 60131 Ancona, Italy
Giulia Chiaraluce
Department of Agricultural, Food and Environmental Sciences (D3A), Polytechnic University of the Marche (UNIVPM), Via Brecce Bianche, 60131 Ancona, Italy
Matteo Alberi
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Enrico Chiarelli
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Andrea Maino
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Fabio Mantovani
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Michele Montuschi
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Kassandra Giulia Cristina Raptis
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Filippo Semenza
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Virginia Strati
Department of Physics and Earth Sciences, University of Ferrara, Via Giuseppe Saragat, 44122 Ferrara, Italy
Filippo Vurro
Institute of Materials for Electronics and Magnetism, National Research Council (IMEM-CNR), Parco Area Delle Scienze 37/A, 43124 Parma, Italy
Edoardo Marchetti
Institute of Materials for Electronics and Magnetism, National Research Council (IMEM-CNR), Parco Area Delle Scienze 37/A, 43124 Parma, Italy
Manuele Bettelli
Institute of Materials for Electronics and Magnetism, National Research Council (IMEM-CNR), Parco Area Delle Scienze 37/A, 43124 Parma, Italy
Michela Janni
Institute of Materials for Electronics and Magnetism, National Research Council (IMEM-CNR), Parco Area Delle Scienze 37/A, 43124 Parma, Italy
Emiliano Anceschi
Gruppo Filippetti, Via Guglielmo Marconi, 60015 Ancona, Italy
Carlo Sportolaro
Gruppo Filippetti, Via Guglielmo Marconi, 60015 Ancona, Italy
Giorgia Bucci
Gruppo Filippetti, Via Guglielmo Marconi, 60015 Ancona, Italy
The scarcity of water due to climate change is endangering worldwide the production, quality, and economic viability of growing wine grapes. One of the main mitigation measures to be adopted in the viticulture sector will be an adequate irrigation strategy. Irrigation involves an increasing demand for water, a natural limited resource with increasing availability problems for the foreseeable future. Therefore, the development of a precision irrigation system, which is able to manage the efficient use of water and to monitor the crop water stress, is an important research topic for viticulture. This paper, through the analysis of a case study, aims to describe the prototype of a software platform that integrates data coming from different innovative remote and proximal sensors to monitor the hydric stress status of the vineyard. In addition, by using a cost analysis of grape cultivation and implementing economic indices, this study examines the conditions by which irrigation strategies may be economically justified, helping the decision-making process. By combining different sensors, the platform makes it possible to assess the spatial and temporal variability of water in vineyards. In addition, the output data of the platforming, matched with the economic indices, support the decision-making process for winemakers to optimize and schedule water use under water-scarce conditions.