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Combined use of remote sensing and soil sensors to detect variability in orchards with previous changes in land use and landforms: consequences for management

Published online by Cambridge University Press:  01 June 2017

J. A. Martínez-Casasnovas ,
E. Daniele ,
A. Uribeetxebarría ,
A. Escolà ,
J. R. Rosell-Polo ,
L. Sartori  and
J. Arnó
J. A. Martínez-Casasnovas*
Affiliation:
Research Group in AgroICT & Precision Agriculture (GRAP), University of Lleida – Agrotecnio Center, Lleida, Catalonia, Spain
E. Daniele
Affiliation:
Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro (PD), Italy
A. Uribeetxebarría
Affiliation:
Research Group in AgroICT & Precision Agriculture (GRAP), University of Lleida – Agrotecnio Center, Lleida, Catalonia, Spain
A. Escolà
Affiliation:
Research Group in AgroICT & Precision Agriculture (GRAP), University of Lleida – Agrotecnio Center, Lleida, Catalonia, Spain
J. R. Rosell-Polo
Affiliation:
Research Group in AgroICT & Precision Agriculture (GRAP), University of Lleida – Agrotecnio Center, Lleida, Catalonia, Spain
L. Sartori
Affiliation:
Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro (PD), Italy
J. Arnó
Affiliation:
Research Group in AgroICT & Precision Agriculture (GRAP), University of Lleida – Agrotecnio Center, Lleida, Catalonia, Spain
*
†E-mail: j.martinez@macs.udl.cat
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Abstract

The present work investigated the application of detailed airborne images and a resistivity soil sensor (Veris 3100) to detect soil and crop spatial variability to assist in orchard management. The research was carried out in a peach orchard (Prunus persica). Soil apparent electrical conductivity (ECa), NDVI from a multispectral image (0.25 m/pixel) and soil properties at 40 sampling points (0–30 cm) were acquired. The ECa was standardized at 25°C. It showed a strong relationship with former landforms, altered by land levelling. A positive correlation of EC25 with EC1:5, water holding capacity at −1500 kPa and soil depth was found. NDVI was correlated only in the textural fractions coarser than clay. Two types of management zones were proposed: a) to improve the water holding capacity of soils and b) to regulate tree vigour and yield.

Keywords

apparent electrical conductivitymultispectral imagesvegetation indexmanagement zones.
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 492 - 497
Copyright
© The Animal Consortium 2017 

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