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A multi sensor data fusion approach for creating variable depth tillage zones

Published online by Cambridge University Press:  01 June 2017

D. Whattoff ,
A. Mouazen  and
T. Waine
D. Whattoff*
Affiliation:
SOYL, Kennetside, Newbury, Berks, UK
A. Mouazen
Affiliation:
Cranfield University, College Road, Cranfield, Bedfordshire, UK
T. Waine
Affiliation:
Cranfield University, College Road, Cranfield, Bedfordshire, UK
*
†Email: [email protected]
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Abstract

In this research a multi-sensor and data fusion approach was developed to create variable depth tillage zones. Data collected with an electromagnetic sensor was fused with measurements taken with a hydraulic penetrometer and conventionally acquired soil bulk density (BD) and moisture content (MC) measurements. Packing density values were then calculated for eight soil layers to determine the need to cultivate or not. From the results 62% of the site required the deepest tillage at 38 cm, 16% required tillage at 33 cm and 22% required no tillage at all. The resultant maps of packing density were shown to be a useful approach to map layered soil compaction and guide VDT operations.

Keywords

Variable depth tillagedata fusionbulk densitypacking density
Type
Tillage and Seeding
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. 461 - 465
Copyright
© The Animal Consortium 2017 

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