Student work and projects
The work carried out at our chair is concerned with software and systems engineering in the field of digital farming. For this purpose, we consider systems along the entire value chain. Our location in Rhineland-Palatinate offers an excellent basis due to the versatile coverage of different areas, such as wine, vegetable and grain cultivation, but also the immediate proximity to research and industry.
Interested students looking for theses and projects are always welcome to contact us to discuss interests and possible topics.
Our research focus:
- Software and systems engineering in the field of digital farming
- Requirements engineering of the different actors in the agricultural ecosystem
- Improvement of interoperability and networking between actors and systems
- Improvement of the acceptance of digital farming solutions (e.g. FMIS, decision support systems, agricultural machinery)
Open Theses
Exploring the role of explainable AI (XAI) in addressing agricultural challenges
Introduction:
The agricultural sector is increasingly integrating artificial intelligence (AI) technologies to increase efficiency, optimize use of resources to improve decision-making, and enhance productivity. Despite these advancements, the complexity and opacity of many AI systems pose a challenge for trust and acceptance among farmers. Explainable artificial intelligence (XAI) techniques aim to address these issues by providing transparency into AI decisions, making them understandable to users. While XAI applications are well-researched in other fields, their role in addressing agricultural challenges is still under-explored. Objective: This study aims to investigate how XAI techniques are applied to agricultural challenges through a systematic literature review (SLR). Objectives include identifying important agricultural problems that use XAI, categorizing the techniques used, and evaluate their effectiveness. The ultimate goal is to provide actionable insights for researchers and practitioners to improve the use and adoption of XAI in agriculture.
Research questions:
RQ1: What are problems in dairy farming where XAI has been applied?
RQ2: Which XAI techniques are most commonly used in dairy farming?
RQ3: How effective are these XAI techniques at addressing specific agricultural challenges?
Contact: