Information Technology
Our mission is to advance the field of smart systems engineering and informatics through education, research, and collaboration. We conduct cutting-edge research that pushes the boundaries of knowledge and addresses real-world challenges in food and health, business, and society. We work closely with industry, government, and other academic institutions to create a vibrant ecosystem of innovation, where our ideas can have a tangible impact on people's lives.
News
Impact stories
Latest publications
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Integrated framework for multipurpose UAV Path Planning in hedgerow systems considering the biophysical environment
Crop Protection (2025), Volume: 187 - ISSN 0261-2194 -
Feasibility of Low-Code Development Platforms in Precision Agriculture: Opportunities, Challenges, and Future Directions
Land (2024), Volume: 13, Issue: 11 - ISSN 2073-445X -
Unveiling the relationship between food unit operations and food industry 4.0 : A short review
Heliyon (2024), Volume: 10, Issue: 20 - ISSN 2405-8440 -
Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain
ACM Transactions on Multimedia Computing, Communications, and Applications (2024) - ISSN 1551-6857 -
Automated collection of facial temperatures in dairy cows via improved UNet
Computers and Electronics in Agriculture (2024), Volume: 220 - ISSN 0168-1699 -
Explainable and Effective Process Remaining Time Prediction Using Feature-Informed Cascade Prediction Model
IEEE Transactions on Services Computing (2024), Volume: 17, Issue: 3 - ISSN 1939-1374 - p. 949-962.
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.
Research
We adopt a holistic, multidisciplinary, and interdisciplinary approach to our work, with the aim of integrating data, software, hardware, people, and processes within the organizational, institutional, and societal context. We recognize that this approach is inherently complex, given the unpredictable behavior and interaction of system components in their environment. To address this challenge, we focus on several important generic and applied research themes.
