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
    info

    University of Bari Aldo Moro

    Bari, Italia

    ROR https://ror.org/027ynra39

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

    Instituto de Ciencias de la Vid y del Vino

    Logroño, España

    ROR https://ror.org/01rm2sw78

  4. 4 Università della Basilicata
    info

    Università della Basilicata

    Potenza, Italia

    ROR https://ror.org/03tc05689

  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
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Mostrar afiliaciones +
Revista:
Sensors

ISSN: 1424-8220

Año de publicación: 2013

Volumen: 13

Número: 1

Páginas: 1121-1136

Tipo: Artículo

beta Ver similares en nube de resultados
DOI: 10.3390/S130101121 SCOPUS: 2-s2.0-84872791265 WoS: WOS:000314024800065 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Sensors

Repositorio institucional: lock_openAcceso abierto Editor lock_openAcceso abierto Editor

Objetivos de desarrollo sostenible

Proyectos relacionados

TELEVITIS ADER 2008-I-ID-00132

2009/00194/001

Resumen

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.