Learning pathways
Autumn 2025
Learning pathway Digitalization in global agricultural development
The course aims to improve participant’s:
- Knowledge: Identify the fundamentals of IoT, machine learning, AI, and digital tools for agricultural applications.
- Comprehension: Understand how IoT devices, sensors, and AI can enhance data collection and decision-making in agriculture.
- Application: the practical use of IoT, sensors, and AI through examples in farming and beekeeping contexts.
- Evaluation: Critically assess the adoption of digital tools by farmers and their socio-economic implications, comparing them with traditional knowledge and practices.
Learning pathway Research and digitalization : applications for rural development
The course aims to improve participant’s:
- Knowledge: key digital tools and concepts in agricultural research, including AI, GIS, and drones.
- Comprehension: the principles and applications of digitalization and its impact on rural development.
- Application: possible applications of digital tools and methodologies for data collection, analysis, and mapping in agricultural contexts.
- Evaluation: Critically assess the adoption, socio-economic impacts, and ethical considerations of digitalization in agriculture.
