
Livestock Monitoring & Analytics
Enabling farmers to monitor health & manage feeding of livestock through sensors & robotics that provide data to a monitoring dashboard. Data is fed into the central platform to providing visibility on livestock conditions on a national level

Key Benefits
Empower farmers
with greater visibility of their livestock’s health
Improve meat availability & quality
by preventing disease, efficient feeding & better breeding
Increase dairy output
with healthier cows, and milk analysis at a cow-specific level
Related Personas

Age
42
Country

About Khalid
Khalid produces tomatoes, potatoes, cucumbers & eggplant. 17% of vegetables consumed in Qatar are sourced locally and he thinks that the local market size will be on the rise in the near future. Soil in Qatar may not be very fertile, and the water quality is not always great, but as agricultural technologies keep improving, there is no reason for Khalid’s business not to grow.
User Journey
Potential Service Features
- •Automated data upload
- •Livestock healthcare Recommendations
- •Farm-specific & National Alerts
- •National Visibility of Livestock Issues
Implementation Analysis
IMPLEMENTATION TIMELINE
TECHNOLOGY COMMERCIAL VIABILITY
REGULATORY CONDUCIVENESS
INVESTMENT REQUIREMENTS
Key Implementation Considerations
Vendor Selection Due diligence to identify ones with high competence in UI/UX, livestock & dairy aggrotech, big data analytics, and animal healthcare IoT
Discovery Phase Research phase to identify existing APIs that can be built on, local livestock & dairy pain points, and enablers for use case development
Development Collaborative process with farmers & MME to produce an app for farmers and a central platform for MME for national monitoring
Testing & Monitoring UX testing to optimize app layout for farmers’ ease, and dashboard features as per MME’s feedback



