Thesis subject
Fine-Tuning Large Language Models (LLMs) for Farm Sensor Selection Based on User Experience (MSc)
This thesis explores the application of Large Language Models (LLMs) in supporting farm sensor selection by leveraging user-generated content from online agricultural communities. Farmers often face challenges in adopting sensor technologies due to misinformation, overpromising vendors, and inadequate guidance. This project aims to fine-tune an LLM using real-world user experiences and feedback to generate reliable, context-aware recommendations for farm sensor deployment.