AI-Driven System for Post-Disaster Agricultural Damage Assessment

Enhancing Disaster Resilience in Nepal's Agriculture Sector through Integrated Satellite, UAV, and AI Technologies

A collaboration between FAO and NAAMII to build national capacity for disaster assessment and response.

National Level Field Training

November 19-20, 2025

Comprehensive 2-day training program focused on building national and local capacity for UAV operations, AI/ML model development, and post-disaster crop damage mapping. This hands-on training transfers technical knowledge and operational skills to government and academic institutions.

Target Participants (~40 people)

Government Agencies
MoALD, DoA, Survey Department, NDRRMA representatives
Research & Academia
Universities, agricultural research centers, technical institutes
Development Partners
FAO, INGO/NGO technical partners, private sector
Field Practitioners
Farming communities, field implementers, local technicians

Training Schedule

Day 1 – Setting the Stage: Kick-off & Orientation Workshop
10:00 – 11:00
Opening & Orientation
Project workflow overview, participant introductions, objectives
FAO/NAAMII
11:00 – 11:30
Keynote Address
Opening remarks from FAO representative
FAO
12:30 – 2:30
UAV Safety & Field Protocols
Drone operations, flight planning, data collection procedures
NAXA
Day 2 – UAV Data Processing, AI Model Building & Flood Mapping
10:00 – 10:25
Opening Speech
Day 2 opening by MoALD representative
MoALD
10:25 – 11:00
Drone Operation Demo
Live data collection demonstration
NAXA
11:00 – 11:30
Data Pre-Processing
Imagery organization, coordinate systems, metadata workflows
NAXA
12:00 – 1:30
Orthophoto + DSM Generation
Hands-on creation using Koshi UAV datasets in Pix4D
NAXA/NAAMII
1:30 – 2:30
Model Training Overview
Flood-mapping AI models, dataset preparation, labeling
NAAMII
2:30 – 3:30
Hands-On Damage Mapping
Train and evaluate models, visualize flood extent and crop damage
NAAMII

National Co-design Workshop

November 21, 2025

Stakeholder engagement workshop to present the AI-driven system, demonstrate capabilities, and gather feedback for scale-up planning. The workshop brings together government agencies, donors, and technical partners to co-design the future of disaster-resilient agriculture in Nepal.

Workshop Agenda

9:30 – 10:30
Registration
Hi Tea and Registration
10:30 – 11:00
Opening & Orientation
Opening Remarks; overview of project workflow; participant introductions and objectives
NAAMII
11:00 – 11:20
Keynote Speaker
Opening Remarks from the representative of FAO
FAO-NP
11:20 – 11:50
Project Overview
AI Driven System for Post-Disaster Agricultural Damage Assessment
FAO-NP
11:50 – 12:10
Drone Demonstration
Flying drone and capturing field imagery
NAXA/NAAMII
12:10 – 12:30
Live Demo
End-to-End Project component demonstration (Dashboard, Cloud AI, ML)
NAAMII
1:30 – 1:50
National Perspective on Disaster & Tech
Presentation by NDRRMA representative on AI and Disaster context
NDRRMA
1:50 – 2:10
Agriculture, Food Security & Disaster
Presentation by MoALD representative
MoALD
2:10 – 2:30
Agriculture Disaster in Madhesh Province
Provincial perspective on disaster impact
MoLMAC Madhesh
2:50 – 3:10
Donor's Perspective
AI, Drones and geospatial technologies in development
INGO
3:10 – 3:50
Stakeholder Feedback
Scale up plan & future integration with other disaster platforms
NAAMII

Expected Outcomes

  • Enhanced national and local capacity in UAV, AI/ML, and data-driven crop damage assessment
  • Operational prototype platform integrating drone, satellite, and field data for decision support
  • Strengthened collaboration among government, FAO, NGOs, and academic partners for disaster-resilient agriculture
  • Increased awareness and adoption of AI-based tools for post-disaster assessment and planning
  • Sustainable local capacity through train-the-trainer approach and knowledge transfer
  • Enhanced preparedness and recovery efforts in flood-affected and high-risk agricultural regions