Model-It - Symposium 2023Photo: Foltan/ATB
VII International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain
June 11-14, 2023
After the last successful edition in Molfetta (Italy) the 7th edition of Model-It, the International Symposium on Applications of Modelling as an Innovative Technology in the Horticultural Supply Chain will be held at the Leibniz Institut for Agricultural Engineering and Bioeconomy in Potsdam, Germany. Check out the venue.
Modern insights in the realm of system biology, new developments in ICT and IoT, and the high complexity of modern production systems have pushed forward the development of novel modelling tools and techniques including advanced statistical data analysis, digital twin and their applications in production, storage and logistics of fruit and vegetables. Discover the conference topics.
We envision an event where scientists with different backgrounds will share ideas and solutions and take advantage of mutual interaction in order to increase knowledge and possibly start new cooperations.
The symposium will serve as a meeting place for research and industry, facilitating the application and dissemination of models throughout the value chain while enhancing knowledge transfer within different application areas.
We hope to meet you all at MODEL-IT 2023 in Potsdam, Germany.
Call for Abstracts
Get part of the conference!
Deadlines & Dates
Abstract submission (extended) by Feb 15, 2023
Notification of acceptance by Feb 28, 2023
Full text submission deadline by June 13, 2023
Prof. Tsu Wei Chen
Humboldt University Berlin, Germany
"Modelling canopy photosynthesis of greenhouse crop"
Prof. Bart Nicolai
Katholieke Universiteit Leuven, Belgium
“Multiscale modelling of postharvest storage processes”
Dr.-Ing. Reiner Jedermann
Institute for Microsensors, -Actuators and –Systems (IMSAS), University of Bremen, Bremen, Germany
“Modelling for digital twin in horticulture: How to process live sensor data for real-time prediction”
Prof. Bodo Bookhagen
Geological Remote Sensing, University of Potsdam
"Multi-scale point cloud applications in the Evironmental Sciences using lidar and Structure-from-Motion"