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Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture
Spatial information on vineyard soil properties can be useful in precision viticulture. In this paper a combination of high resolution soil spatial information of soil electrical resistivity (ER) and ancillary topographic attributes, such as elevation and slope, were integrated to assess the spatial...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574725/ https://www.ncbi.nlm.nih.gov/pubmed/23325171 http://dx.doi.org/10.3390/s130101121 |
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author | Rossi, Roberta Pollice, Alessio Diago, Maria-Paz Oliveira, Manuel Millan, Borja Bitella, Giovanni Amato, Mariana Tardaguila, Javier |
author_facet | Rossi, Roberta Pollice, Alessio Diago, Maria-Paz Oliveira, Manuel Millan, Borja Bitella, Giovanni Amato, Mariana Tardaguila, Javier |
author_sort | Rossi, Roberta |
collection | PubMed |
description | Spatial information on vineyard soil properties can be useful in precision viticulture. In this paper a combination of high resolution soil spatial information of soil electrical resistivity (ER) and ancillary topographic attributes, such as elevation and slope, were integrated to assess the spatial variability patterns of vegetative growth and yield of a commercial vineyard (Vitis vinifera L. cv. Tempranillo) located in the wine-producing region of La Rioja, Spain. High resolution continuous geoelectrical mapping was accomplished by an Automatic Resistivity Profiler (ARP) on-the-go sensor with an on-board GPS system; rolling electrodes enabled ER to be measured for a depth of investigation approximately up to 0.5, 1 and 2 m. Regression analysis and cluster analysis algorithm were used to jointly process soil resistivity data, landscape attributes and grapevine variables. ER showed a structured variability that matched well with trunk circumference spatial pattern and yield. Based on resistivity and a simple terrain attribute uniform management units were delineated. Once a spatial relationship to target variables is found, the integration of point measurement with continuous soil resistivity mapping is a useful technique to identify within-plots areas of vineyard with similar status. |
format | Online Article Text |
id | pubmed-3574725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-35747252013-02-25 Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture Rossi, Roberta Pollice, Alessio Diago, Maria-Paz Oliveira, Manuel Millan, Borja Bitella, Giovanni Amato, Mariana Tardaguila, Javier Sensors (Basel) Article Spatial information on vineyard soil properties can be useful in precision viticulture. In this paper a combination of high resolution soil spatial information of soil electrical resistivity (ER) and ancillary topographic attributes, such as elevation and slope, were integrated to assess the spatial variability patterns of vegetative growth and yield of a commercial vineyard (Vitis vinifera L. cv. Tempranillo) located in the wine-producing region of La Rioja, Spain. High resolution continuous geoelectrical mapping was accomplished by an Automatic Resistivity Profiler (ARP) on-the-go sensor with an on-board GPS system; rolling electrodes enabled ER to be measured for a depth of investigation approximately up to 0.5, 1 and 2 m. Regression analysis and cluster analysis algorithm were used to jointly process soil resistivity data, landscape attributes and grapevine variables. ER showed a structured variability that matched well with trunk circumference spatial pattern and yield. Based on resistivity and a simple terrain attribute uniform management units were delineated. Once a spatial relationship to target variables is found, the integration of point measurement with continuous soil resistivity mapping is a useful technique to identify within-plots areas of vineyard with similar status. MDPI 2013-01-16 /pmc/articles/PMC3574725/ /pubmed/23325171 http://dx.doi.org/10.3390/s130101121 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Rossi, Roberta Pollice, Alessio Diago, Maria-Paz Oliveira, Manuel Millan, Borja Bitella, Giovanni Amato, Mariana Tardaguila, Javier Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title | Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title_full | Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title_fullStr | Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title_full_unstemmed | Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title_short | Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture |
title_sort | using an automatic resistivity profiler soil sensor on-the-go in precision viticulture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574725/ https://www.ncbi.nlm.nih.gov/pubmed/23325171 http://dx.doi.org/10.3390/s130101121 |
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