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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Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems
IEEE Transactions on Parallel and Distributed Systems (2021). - ISSN 1045-9219 -
Grape bunch detection at different growth stages using deep learning quantized models
Agronomy 11 (2021)9. - ISSN 2073-4395 -
Keep it green, simple and socially fair : A choice experiment on prosumers’ preferences for peer-to-peer electricity trading in the Netherlands
Energy Policy 159 (2021). - ISSN 0301-4215 -
Inter-release defect prediction with feature selection using temporal chunk-based learning : An empirical study
Applied Soft Computing 113 (2021). - ISSN 1568-4946 -
Obstacles and features of health information systems : A systematic literature review
Computers in Biology and Medicine 137 (2021). - ISSN 0010-4825 -
Uav-based land cover classification for hoverfly (Diptera : Syrphidae) habitat condition assessment: A case study on mt. stara planina (Serbia)
Remote Sensing 13 (2021)16. - ISSN 2072-4292
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.
