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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Orchard management with small unmanned aerial vehicles : a survey of sensing and analysis approaches
Precision Agriculture (2021). - ISSN 1385-2256 -
Blockchain-based Fully Peer-to-Peer Energy Trading Strategies for Residential Energy Systems
IEEE Transactions on Industrial Informatics (2021). - ISSN 1551-3203 -
Oceanic islands and climate : using a multi-criteria model of drivers of change to select key conservation areas in Galapagos
Regional Environmental Change 21 (2021)2. - ISSN 1436-3798 -
Precision nutrition : A systematic literature review
Computers in Biology and Medicine 133 (2021). - ISSN 0010-4825 -
Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks
IEEE Network 35 (2021)2. - ISSN 0890-8044 - p. 112 - 119. -
Impact of electric vehicles charging demand on distribution transformers in an office area and determination of flexibility potential
Sustainable Energy, Grids and Networks 26 (2021). - ISSN 2352-4677
Vacancies
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.
