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Characterizing spatial variability in soil water content for precision irrigation management

Published online by Cambridge University Press:  01 June 2017

A. de Lara ,
R. Khosla  and
L. Longchamps
A. de Lara
Affiliation:
Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523-1170
R. Khosla*
Affiliation:
Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523-1170
L. Longchamps
Affiliation:
Dep. of Soil and Crop Sciences, Colorado State Univ., Fort Collins, CO 80523-1170
*
†E-mail: [email protected]
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Abstract

One among many challenges in implementing precision irrigation is the reliable characterization of the soil water content (SWC) across spatially variable fields. For this purpose, commercial retailers are employing apparent soil electrical conductivity (ECa) to create irrigation prescription maps. The accuracy of this method at the field scale has received little attention from the scientific community. Hence, the objective of this study was to characterize spatial distribution of soil water content at the field scale for the purpose of precision irrigation management. Results showed mean SWC to be different across ECa derived management zones, indicating that soil ECa was able to characterize mean differences in SWC across management zones.

Keywords

soil water contentapparent soil electrical conductivityirrigationmanagement zones
Type
Soil Sensing and Variability
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. 418 - 422
Copyright
© The Animal Consortium 2017 

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