Thesis subject
Recommender System for Farm Sensor Selection (MSc)
This thesis aims to design and implement a recommender system to support farmers in selecting appropriate farm sensors from a wide range of available technologies. The system will leverage automated data collection, indexing techniques, and decision modelling to streamline the sensor selection process. By incorporating user-centered evaluation based on the Technology Acceptance Model (TAM), the research seeks to promote the usability and adoption of the developed system in real-world agricultural settings.