The principle teaching modalities are:
- E-learning (Refresher Course)
- Group projects
- Intensive program in Sweden including practicals and field visits
- Internship in a partner company
Students will be evaluated through their project work.
The principle objectives and subject areas are:
What kind of sensors are used and will be used in the future in Precision Agriculture?
Leader: SLU Sweden; Members: Perrotis College, U. Helsinki Finland
Keywords: sensors (weather, image, sound, motion data acquisition), internet of things, sensors connection, wireless sensor networks
Data analysis and modelling
What can be done with data coming from these sensors?
Leader: Gembloux AgroBioTech; Members: ISA Lille – Yncréa HDF, Perrotis College
Keywords: data storage, data analysis, image processing, programming, data manageent, big data, statistics, modeling
Geomatics and remote sensing
How to analyze and interpret spatial data?
Leader: Perrotis College; Members: UTAD, SLU
Keywords: Geographical Information System (GIS), Global Navigation Satellite System (GNSS)
Automation and Mechanics
How to use collected and analyzed data as input for automated tools and machines?
Leader: University of Helsinki; Members: Gembloux AgroBioTech, NMBU
What are the role of robots in agriculture?
Leader: NMBU; Members: ISA Lille – Yncréa HDF, UTAD