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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Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution
Renewable Energy 183 (2022). - ISSN 0960-1481 - p. 267 - 282. -
Big data in agriculture : Between opportunity and solution
Agricultural Systems 195 (2022). - ISSN 0308-521X -
A systematic literature review of industry 4.0 technologies within medical device manufacturing
Future Internet 13 (2021)10. - ISSN 1999-5903 -
Applications of deep learning for mobile malware detection : A systematic literature review
Neural Computing and Applications (2021). - ISSN 0941-0643 - 26 p. -
A model-driven architecture for automated deployment of microservices
Applied Sciences 11 (2021)20. - ISSN 2076-3417 -
Positive energy districts: Mainstreaming energy transition in urban areas
Renewable and Sustainable Energy Reviews 153 (2021). - ISSN 1364-0321
Vacancy
- Postdoc in UAV/Drones for Real-Time Data Processing in Agriculture
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.
