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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Augmented Reality In Smart Manufacturing: A User Experience Evaluation
Webology 19 (2022)3. - ISSN 1735-188X - p. 2405 - 2423. -
Healthcare related event prediction from textual data with machine learning: A Systematic Literature Review
Healthcare Analytics 2 (2022). - ISSN 2772-4425 -
Digital Twins and Industry 4.0 Technologies for Agricultural Greenhouses
Smart Cities 5 (2022)3. - ISSN 2624-6511 - p. 1179 - 1192. -
Harnessing Augmented Reality for Increasing the Awareness of Food Waste Amongst Dutch Consumers
Augmented Human Research 7 (2022)1. - ISSN 2365-4317 - 12 p. -
Clone detection for business process models
PeerJ Computer Science 8 (2022). - ISSN 2376-5992 -
APPLE MOTS : Detection, Segmentation and Tracking of Homogeneous Objects Using MOTS*
IEEE Robotics and Automation Letters (2022). - ISSN 2377-3766 - p. 1 - 8.
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.
