Using an automatic resistivity profiles soil sensor on-the-go in precision viticulture

  1. Rossi, R. 5
  2. Pollice, A. 2
  3. Diago, M.-P. 3
  4. Oliveira, M. 1
  5. Millan, B. 3
  6. Bitella, G. 6
  7. Amato, M. 4
  8. Tardaguila, J. 37
  1. 1 CITAB, Department of Agronomy, UTAD, 5001-911 Vila Real, Portugal
  2. 2 University of Bari Aldo Moro

    University of Bari Aldo Moro

    Bari, Italia

    GRID grid.7644.1

  3. 3 Instituto de Ciencias de la Vid y del Vino

    Instituto de Ciencias de la Vid y del Vino

    Logroño, España

    GRID grid.481584.4

  4. 4 Università della Basilicata

    Università della Basilicata

    Potenza, Italia

    GRID grid.7367.5

  5. 5 Sistemi Colturali degli Ambienti Caldo-Aridi (SCA), Agricultural Research Council (CRA), Via Celso Ulpiani, 5, 70125 Bari, Italy
  6. 6 So. In. GStrutture and Ambiente, 57121 Livorno, Italy
  7. 7 Universidad de La Rioja

    Universidad de La Rioja

    Logroño, España

    GRID grid.119021.a


ISSN: 1424-8220

Year of publication: 2013

Volume: 13

Issue: 1

Pages: 1121-1136

Type: Article

Export: RIS
DOI: 10.3390/s130101121 SCOPUS: 2-s2.0-84872791265 WoS: 000314024800065 GOOGLE SCHOLAR lock_openOpen access editor
Institutional repository: lock_openOpen access editor


Cited by

  • Scopus Cited by: 24 (14-07-2021)

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  • Year 2013
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  • Year 2013
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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. © 2013 by the authors; licensee MDPI, Basel, Switzerland.