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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Product failure detection for production lines using a data-driven model
Expert Systems with Applications 202 (2022). - ISSN 0957-4174 -
Data-driven decision making in pig farming: A review of the literature
Livestock Science 261 (2022). - ISSN 1871-1413 -
Micro-IDE : A tool platform for generating efficient deployment alternatives based on microservices
Software: Practice and Experience (2022). - ISSN 0038-0644 - p. 1 - 27. -
Robot Swarms Decide under Perception Errors in Best-of-N Problems
Applied Sciences 12 (2022)6. - ISSN 2076-3417 -
Critical Infrastructures : Reliability, Resilience and Wastage
Infrastructures 7 (2022)3. - ISSN 2412-3811 -
Opening up spatial planning to the participation of children and youth : the Swedish experience
European Planning Studies (2022). - ISSN 0965-4313
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.
