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Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model

The production of high-quality wines is one of the primary goals of modern oenology. In this regard, it is known that the potential quality of a wine begins to be determined in the vineyard, where the quality of the grape, initially, and later that of the wine, will be influenced by the soil propert...

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Autores principales: Moral, Francisco J., Rebollo, Francisco J., Serrano, João
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674796/
https://www.ncbi.nlm.nih.gov/pubmed/38005569
http://dx.doi.org/10.3390/s23229183
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author Moral, Francisco J.
Rebollo, Francisco J.
Serrano, João
author_facet Moral, Francisco J.
Rebollo, Francisco J.
Serrano, João
author_sort Moral, Francisco J.
collection PubMed
description The production of high-quality wines is one of the primary goals of modern oenology. In this regard, it is known that the potential quality of a wine begins to be determined in the vineyard, where the quality of the grape, initially, and later that of the wine, will be influenced by the soil properties. Given the spatial variability of the fundamental soil properties related to the potential grape production, such as texture, soil organic matter content, or cation exchange capacity, it seems that a uniform management of a vineyard is not the most optimal way to achieve higher grape quality. In this sense, the delineation of zones with similar soil characteristics to implement site-specific management is essential, reinforcing the interest in incorporating technologies and methods to determine these homogeneous zones. A case study was conducted in a 3.3 ha vineyard located near Évora, south of Portugal. A non-contact sensor (DUALEM 1S) was used to measure soil apparent electrical conductivity (ECa) in the vineyard, and later, a kriged ECa map was generated. ECa and elevation maps were utilised to delineate homogeneous zones (management zones, MZs) in the field through a clustering process. MZs were validated using some soil properties (texture; pH; organic matter—OM; phosphorous—P(2)O(5); potassium—K(2)O; the sum of the exchange bases—SEB; and cation exchange capacity—CEC), which were determined from 20 soil samples taken in the different MZs. Validation was also performed using Rasch measures, which were defined based on the formulation of the objective and probabilistic Rasch model, integrating the information from the aforementioned soil properties at each sampling location. The comparison of the MZs was more evident with the use of the Rasch model, as only one value was to be employed in each MZ. Finally, an additional validation was conducted using a vegetation index to consider the plant response, which was different in each MZ. The use of a non-contact sensor to measure ECa constitutes an efficient technological tool for implementing site-specific management in viticulture, which allows for the improvement of decision-making processes by considering the inherent spatial variability of the soil.
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spelling pubmed-106747962023-11-14 Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model Moral, Francisco J. Rebollo, Francisco J. Serrano, João Sensors (Basel) Article The production of high-quality wines is one of the primary goals of modern oenology. In this regard, it is known that the potential quality of a wine begins to be determined in the vineyard, where the quality of the grape, initially, and later that of the wine, will be influenced by the soil properties. Given the spatial variability of the fundamental soil properties related to the potential grape production, such as texture, soil organic matter content, or cation exchange capacity, it seems that a uniform management of a vineyard is not the most optimal way to achieve higher grape quality. In this sense, the delineation of zones with similar soil characteristics to implement site-specific management is essential, reinforcing the interest in incorporating technologies and methods to determine these homogeneous zones. A case study was conducted in a 3.3 ha vineyard located near Évora, south of Portugal. A non-contact sensor (DUALEM 1S) was used to measure soil apparent electrical conductivity (ECa) in the vineyard, and later, a kriged ECa map was generated. ECa and elevation maps were utilised to delineate homogeneous zones (management zones, MZs) in the field through a clustering process. MZs were validated using some soil properties (texture; pH; organic matter—OM; phosphorous—P(2)O(5); potassium—K(2)O; the sum of the exchange bases—SEB; and cation exchange capacity—CEC), which were determined from 20 soil samples taken in the different MZs. Validation was also performed using Rasch measures, which were defined based on the formulation of the objective and probabilistic Rasch model, integrating the information from the aforementioned soil properties at each sampling location. The comparison of the MZs was more evident with the use of the Rasch model, as only one value was to be employed in each MZ. Finally, an additional validation was conducted using a vegetation index to consider the plant response, which was different in each MZ. The use of a non-contact sensor to measure ECa constitutes an efficient technological tool for implementing site-specific management in viticulture, which allows for the improvement of decision-making processes by considering the inherent spatial variability of the soil. MDPI 2023-11-14 /pmc/articles/PMC10674796/ /pubmed/38005569 http://dx.doi.org/10.3390/s23229183 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moral, Francisco J.
Rebollo, Francisco J.
Serrano, João
Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title_full Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title_fullStr Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title_full_unstemmed Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title_short Using a Non-Contact Sensor to Delineate Management Zones in Vineyards and Validation with the Rasch Model
title_sort using a non-contact sensor to delineate management zones in vineyards and validation with the rasch model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674796/
https://www.ncbi.nlm.nih.gov/pubmed/38005569
http://dx.doi.org/10.3390/s23229183
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