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

Date

2017-06-01

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cambridge University Press

Department

Type

Article

ISSN

2040-4700

Format

Citation

Whattoff D, Mouazen A, Waine T, A multi sensor data fusion approach for creating variable depth tillage zones, Advances in Animal Biosciences, Vol. 8. Issue 2, July 2017, pp. 461-465

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.

Description

Software Description

Software Language

Github

Keywords

Variable depth tillage, Data fusion, Bulk density, Packing density

DOI

Rights

Attribution-NonCommercial 4.0 International

Relationships

Relationships

Supplements