Calibration of a process-based crop model for the development and growth of winter oilseed rape
Master Thesis
Research area
Crop Science
Motivation / State of the art / Relevance
BASF Digital Farming relies on the modeling framework SIMPLACE developed at U Bonn to simulate the crop development of leaf area, biomass and nitrogen uptake at field scale.
For future applications, SIMPLACE shall be adapted to simulate the development of winter oilseed rape, which requires a proper calibration of the model.
Objectives
The goal of this thesis is to derive a scientifically sound derivation of the parameterization for SIMPLACE based on literature information, field measurements as well as satellite data in order to simulate development and growth of winter oilseed rape accurately.
Methodology / Procedure / Workscope / external cooperation
- Taking biomass samples (as well as soil samples) on selected winter oilseed rape field in the Rheinland region, plus analysis of the lab results
- Literature review regarding the topic ‘Simulation of winter oilseed rape growth’
- Parameterization of the model based on field samples as well as remote sensing data
- Evaluation of the modeling results
Expected results
Ready-to-be-used parameterization for the crop growth model to simulate winter oilseed rape development.
Timeframe
4-6 months
Language
German or English
Previous knowledge
- Basic understanding of crop growth and crop production
- Basic understanding of crop growth models as well as remote sensing data
- Driving license Klasse B
- Any coding experience (Python, R) is appreciated, but is not a must
Supervisor
Dr. Thomas Gaiser (tgaiser@uni-bonn.de)
Contact
Dr. Thomas Gaiser (tgaiser@uni-bonn.de)
Additional Information
Cooperation with BASF Digital Farming GmbH in Köln (Contact person: Andreas Tewes, andreas.tewes@xarvio.com)