Information Technology
Our mission is to advance the state-of-the-art of smart systems and system of systems engineering to support innovations in the life sciences application domains. Hereby, we focus on software engineering, data science, and socio-technical systems engineering.
News
Impact stories
Latest publications
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CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss
Computers and Electronics in Agriculture 193 (2022). - ISSN 0168-1699 -
Dairy Farm Management Information Systems
Electronics 11 (2022)2. - ISSN 2079-9292 - p. 239 - 239. -
Machine learning-based farm risk management : A systematic mapping review
Computers and Electronics in Agriculture 192 (2022). - ISSN 0168-1699 -
Smart warehouses : Rationale, challenges and solution directions
Applied Sciences 12 (2022)1. - ISSN 2076-3417 -
Simulation-assisted machine learning for operational digital twins
Environmental Modelling & Software 148 (2022). - ISSN 1364-8152 -
Diffusion of organic farming among Dutch pig farmers : An agent-based model
Agricultural Systems 197 (2022). - ISSN 0308-521X
Vacancy
Education
We offer a variety of courses at BSc and MSc level that are taken by students from all study programmes of Wageningen University & Research. The courses are aligned to our overall objective for realizing smart system engineering. In parallel with our courses we offer interesting MSc and BSc thesis assignments. Further, we have an active PhD programme in which research is carried out in close collaboration with the life sciences application domains.
Section Business Science
Research
The INF group aims to take the important role of supporting the research necessary for engineering of smart software-intensive systems for the life sciences application domains. To this end, we adopt a system engineering approach that is necessary for the analysis, design, testing, and management of complex smart systems. This implies a holistic multidisciplinary approach that aims to integrate data, software, hardware, people and processes within the organizational, institutional and societal context
Agro Food Robotics
The experts of Agro Food Robotics design robotic systems for open field, horticulture, fresh chains and food. We specialise in artificial intelligence and sensing, especially spectral, learning and vision.
