WP1 Project Coordination
  • Project Management
  • Scientific management and promotion
  • Technical and Integration Management
WP2: Data Collection and Analysis Prerequisites
  • Conduct farm visits to identify data sources and gather initial inputs.
  • Collaborate with local stakeholders to ensure ethical data collection aligned with ODA compliance.
  • Develop a secure data-sharing framework.
WP3: AI-Driven Agricultural Risk Prediction
  • Develop predictive algorithms based on collected data.
  • Validate models through case studies on small farms.
  • Train farmers and stakeholders to interpret AI outputs.
WP4: Capacity Building and Knowledge Transfer
  • Organize training sessions on AI adoption and precision farming techniques.
  • Facilitate workshops for knowledge exchange among stakeholders.
  • Promote awareness about AI’s potential in sustainable agriculture.
WP5: Integration and Scalability
  • Collaborate with local institutions to pilot AI solutions on farms.
  • Identify scalability opportunities for other developing regions.
  • Establish a bilingual (Serbian/English) knowledge-sharing platform for future collaborations.
WP6 Dissemination, Exploitation and Sustainability
  • Online promotion
  • Publishing and presenting findings
  • Workshops organization

This research was supported by International Science Partnerships Fund (ISPF).