Intelligent soil tillage – towards automatic set-up and control of tillage equipment

PhD defence, Monday 2 November 2015. Thomas Jensen.

2015.11.02 | Mette Pultz

Thomas Jensen

During his PhD studies, Thomas Jensen researched soil surface scanning and methods for analysing the soil surface, aimed at automating the set-up and control of soil tillage equipment in agriculture.

When preparing the seedbed, it is important to apply the correct soil tillage in order to provide the best conditions for seed germination and plant growth. Many factors that impact the tillage outcome often change throughout a field. However, current tillage implements lack the necessary sensor systems to adapt to these changes.

Thomas Jensen proposes a system for 3D mapping of the soil surface based on laser scanning. The scanning system can be used to gather high-resolution surface images and can be mounted on the tractor or implement for rapid mapping of entire fields during tillage. The 3D surface maps are analysed using algorithms for estimating soil properties such as surface roughness and top soil aggregate size distribution. These proposed methods were studied through field tests of tillage operations.

The PhD degree was completed at the Department of Engineering, Science and Technology, Aarhus University.

This résumé was prepared by the PhD student.

Time: Monday 2 November 2015 at 13.00
Place: Building 5125, room 424 E, Department of Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N
Title of dissertation: Intelligent Soil Tillage using Image Sensors
Contact information: Thomas Jensen, thje@eng.au.dk
Members of the assessment committee:
Dr Thomas Keller, Department of Natural Resources and Agriculture, Agroscope, Switzerland
Associate Professor Helge B. Sørensen, Department of Electrical Engineering, Technical University of Denmark
Professor Peter Gorm Larsen (chair), Department of Engineering, Aarhus University
Main supervisor:
Senior Associate Professor Henrik Karstoft, Department of Engineering, Aarhus University
Co-supervisors:
Senior Researcher Lars J. Munkholm, Department of Agroecology, Aarhus University
Managing Director Ole Green, Agro Intelligence, Denmark
Language: The dissertation will be defended in English

The defence is public.
The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, room 112, 8000 Aarhus C.

PhD defence
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Revised 20.09.2017