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Volume 1, issue 1
SOIL, 1, 459–473, 2015
https://doi.org/10.5194/soil-1-459-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Geosciences and wine: the environmental processes that regulate...

SOIL, 1, 459–473, 2015
https://doi.org/10.5194/soil-1-459-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Original research article 17 Jun 2015

Original research article | 17 Jun 2015

Evaluation of vineyard growth under four irrigation regimes using vegetation and soil on-the-go sensors

J. M. Terrón1, J. Blanco2, F. J. Moral2, L. A. Mancha1, D. Uriarte1, and J. R. Marques da Silva3,4,5 J. M. Terrón et al.
  • 1Centro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX) – Instituto de Investigaciones Agrarias Finca "La Orden-Valdesequera", Gobierno de Extremadura, Autovía A-5 p.k. 372, 06187, Guadajira (Badajoz), Spain
  • 2Universidad de Extremadura, Escuela de Ingenierías Industriales, Departamento de Expresión Gráfica, Avda. de Elvas, s/n, 06071, Badajoz, Spain
  • 3Universidade de Évora, Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Escola de Ciências e Tecnologia, Apartado 94, 7002-554, Évora, Portugal
  • 4Applied Management and Space Centre for Interdisciplinary Development and Research on Environment (DREAMS), Lisbon, Portugal
  • 5Centro de Inovação em Tecnologias de Informação (CITI), Évora, Portugal

Abstract. Precision agriculture is a useful tool to assess plant growth and development in vineyards. The present study focused on spatial and temporal analysis of vegetation growth variability, in four irrigation treatments with four replicates. The research was carried out in a vineyard located in the southwest of Spain during the 2012 and 2013 growing seasons. Two multispectral sensors mounted on an all-terrain vehicle (ATV) were used in the different growing seasons/stages in order to calculate the vineyard normalized difference vegetation index (NDVI). Soil apparent electrical conductivity (ECa) was also measured up to 0.8 m soil depth using an on-the-go geophysical sensor. All measured data were analysed by means of principal component analysis (PCA). The spatial and temporal NDVI and ECa variations showed relevant differences between irrigation treatments and climatological conditions.

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