Automatic and Non-Invasive Monitoring of Water Stress in Vineyards

In this study, a non-invasive system is proposed for monitoring the health of vine plants by measuring their water stress, with the goal of mitigating frequent extreme meteorological events such as droughts. The envisioned system measures the spatial distribution of the Crop Water Stress Index (CWSI...

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發表在:Environmental Sciences Proceedings
Main Authors: Pietro Brach del Prever, Gabriele Balducci, Alice Ballestra, Carlo Ghiglione, Laura Mascheretti, Margherita Molinari, Giuseppe Nicoletti, Valter Carvelli, Chiara Corbari, Stefano Invernizzi, Stefano Mariani
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語言:英语
出版: MDPI AG 2023-03-01
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在線閱讀:https://www.mdpi.com/2673-4931/25/1/79
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author Pietro Brach del Prever
Gabriele Balducci
Alice Ballestra
Carlo Ghiglione
Laura Mascheretti
Margherita Molinari
Giuseppe Nicoletti
Valter Carvelli
Chiara Corbari
Stefano Invernizzi
Stefano Mariani
author_facet Pietro Brach del Prever
Gabriele Balducci
Alice Ballestra
Carlo Ghiglione
Laura Mascheretti
Margherita Molinari
Giuseppe Nicoletti
Valter Carvelli
Chiara Corbari
Stefano Invernizzi
Stefano Mariani
author_sort Pietro Brach del Prever
collection DOAJ
container_title Environmental Sciences Proceedings
description In this study, a non-invasive system is proposed for monitoring the health of vine plants by measuring their water stress, with the goal of mitigating frequent extreme meteorological events such as droughts. The envisioned system measures the spatial distribution of the Crop Water Stress Index (CWSI) on the crop field and provides the farmers with precise control over their vine’s health and, therefore, on the final quality of their product. To ensure the accurate acquisition of the parameters needed to compute the CWSI, data are collected by field sensors on the ground and by exploiting satellite data. Data fusion then allows us to obtain an associated georeferenced heatmap of the vineyard. The solution has been tested via a prototype, which allowed the collection of information in a vineyard.
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spelling doaj-art-7aecdd4d9fa849c1955ed4a5b3bf69f52025-08-19T22:44:47ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-03-012517910.3390/ECWS-7-14164Automatic and Non-Invasive Monitoring of Water Stress in VineyardsPietro Brach del Prever0Gabriele Balducci1Alice Ballestra2Carlo Ghiglione3Laura Mascheretti4Margherita Molinari5Giuseppe Nicoletti6Valter Carvelli7Chiara Corbari8Stefano Invernizzi9Stefano Mariani10Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyPolitecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyDepartment of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyDepartment of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, ItalyIn this study, a non-invasive system is proposed for monitoring the health of vine plants by measuring their water stress, with the goal of mitigating frequent extreme meteorological events such as droughts. The envisioned system measures the spatial distribution of the Crop Water Stress Index (CWSI) on the crop field and provides the farmers with precise control over their vine’s health and, therefore, on the final quality of their product. To ensure the accurate acquisition of the parameters needed to compute the CWSI, data are collected by field sensors on the ground and by exploiting satellite data. Data fusion then allows us to obtain an associated georeferenced heatmap of the vineyard. The solution has been tested via a prototype, which allowed the collection of information in a vineyard.https://www.mdpi.com/2673-4931/25/1/79vineyardcropmonitoringwater managementCWSIvegetation index
spellingShingle Pietro Brach del Prever
Gabriele Balducci
Alice Ballestra
Carlo Ghiglione
Laura Mascheretti
Margherita Molinari
Giuseppe Nicoletti
Valter Carvelli
Chiara Corbari
Stefano Invernizzi
Stefano Mariani
Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
vineyard
crop
monitoring
water management
CWSI
vegetation index
title Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
title_full Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
title_fullStr Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
title_full_unstemmed Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
title_short Automatic and Non-Invasive Monitoring of Water Stress in Vineyards
title_sort automatic and non invasive monitoring of water stress in vineyards
topic vineyard
crop
monitoring
water management
CWSI
vegetation index
url https://www.mdpi.com/2673-4931/25/1/79
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