Beyond the technology itself, the AIDurian project delivered **capacity building** as one of its core outputs: training project staff and involving students across the research cycle.
Research assistants, students, and technical staff supported key activities including:
- Field data collection and fruit tagging
- Image and audio labeling
- Model development and testing
- System integration and documentation
This student involvement is part of the project's lasting contribution to the region — building a new generation of researchers and developers skilled in agricultural AI.