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.
Architecture and Governance of Digital Business Ecosystems : A Systematic Literature ReviewInformation Systems Management (ISM) (2023). - 33 p.
Can Satellite Remote Sensing Assist in the Characterization of Yeasts Related to Biogeographical Origin?Sensors 23 (2023)4. - ISSN 1424-8220 - 18 p.
Fields2Cover: An Open-Source Coverage Path Planning Library for Unmanned Agricultural VehiclesIEEE Robotics and Automation Letters 8 (2023)4. - ISSN 2377-3766 - p. 2166 - 2172.
Reference architecture for digital twin-based predictive maintenance systemsComputers & Industrial Engineering 177 (2023). - ISSN 0360-8352 - 24 p.
Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery : A triennial study in an apple orchardISPRS Journal of Photogrammetry and Remote Sensing 197 (2023). - ISSN 0924-2716 - p. 256 - 273.
The Analysis of High-Frequency Finance Data using ROOTJournal of Physics: Conference series 2438 (2023)1. - ISSN 1742-6588
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.
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.