SOILAssist

Sustainable protection and improvement of soil functions with intelligent land management strategies

Soil compaction is a problem in arable field processing. SOILAssist aims at the development of practically usable methods and tools for optimal field management strategies with a focus on soil protection. (Photo: Astrid Ullrich, DFKI GmbH)
Soil compaction is a problem in arable field processing. SOILAssist aims at the development of practically usable methods and tools for optimal field management strategies with a focus on soil protection. (Photo: Astrid Ullrich, DFKI GmbH)

Automation and optimisation are becoming increasingly important in agricultural processes. In addition improvements in efficiency, soil protection is gaining attention. The project SOILAssist addresses both topics. It aims at the development of practically usable methods and tools for optimal field management strategies with a focus on soil protection.

Duration: 01.07.2015 till 30.06.2018
Donee: German Research Center for Artificial Intelligence GmbH
Sponsor: Federal Ministry of Education and Research
Grant number: Grant number: 031A563B
Partner: Thünen-Institute (Inst. of Agricultural Technology, Staff unit for Soil Protection, Staff unit Climate Protection), Christian-Albrecht University of Kiel (Institute of Physical Geography)
Application Field: Logistics, Production and Consumer
Agricultural Robotics
Related Projects: marion
Mobile autonomous, cooperative robots in complex value chains (08.2010- 11.2013)
SmartBot
application-oriented solutions for agriculture, shipbuilding and small-scale industrial production (04.2011- 12.2014)
SOILAssist2
Sustainable protection and improvement of soil functions with intelligent land management strategies (10.2018- 09.2021)

Project details

In the context of the funding initiative “Soil as a Sustainable Resource for the Bioeconomy – BonaRes” of BMBF the DFKI Robotics Innovation Center develops in the project SOILAssist an adaptive real-time assistance system for agriculture machines. Driving and working strategies should be planned on-line and will be provided to the driver via an assistance function.

The objective of the project is the spatial and temporal planning of the process and the coordination of several  machines taking into account a model of the soil qualities. The effects that driving has on the soil structure are in the focus of SoilAssist. Theses impacts will be analyzed by the Christian-Albrecht University of Kiel. The soil model will be provided by Thünen Institute.

Results of the related projects SmartBot and marion will be generalized and expanded for SOILAssist.
The project's results will be made publicly available in a modular, framework-independent open source library.

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last updated 11.09.2024