
Land Planning System
Enabling MME to support farmers in achieving higher yields and optimizing arable land use by pooling & analyzing data from various agricultural, GIS, & utility data sources and improving MME’s land use planning system to be more robust

Key Benefits
Reduced water consumption
by connecting new farmers to existing TSE network
Higher yield through optimized land use planning
that takes into account soil & location data, connection to infrastructure & other factors
Optimized Land Use Planning process for MME
by pooling multiple dispersed data sources from different authorities into one central tool
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 Feed
- •Analytics Capabilities
- •Existing Farmer locations & data
- •Interactive Web Interface
- •GIS Functionalities
Implementation Analysis
IMPLEMENTATION TIMELINE
TECHNICAL COMMERCIAL VIABILITY
REGULATORY CONDUCIVENESS
INVESTMENT REQUIREMENTS
Key Implementation Considerations
Vendor Selection Due diligence to identify ones with high competence in UI/UX, GIS & aggrotech solutions, big data analytics, and image processing
Discovery Phase Research phase to identify existing APIs that can be built on, current state of land use planning data, and enablers for use case development
Development Collaborative process with MME to produce a solution that integrations and optimizes legacy systems and processes
Testing & Monitoring UX testing to optimize the system, and dashboard features as per MME’s feedback
Relevant Tech Solutions





