Tendered

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

Tags:

Goverment Officials

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

Farmer

Khalid

Age

42
Job Title

Agribusiness consumer
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.

Income Level

50% Income Level

Tech Knowledge

90% Tech Knowledge

User Journey

1

The team at MME are trying to decide the optimal arable lands for farmers They log onto the system and get access to various data
2

They open the interactive web interface on the system which visualizes all relevant information
3

They pool & analyze data and select the optimal arable land sites on the web interface
4

They ensure the new site will have access to electricity & TSE networks, and that the soil quality is sufficient
5

They assign the site to farmers online and share detailed data about the site with farmers

More Info +

Potential Service Features

Automated Data Feed
Analytics Capabilities
Existing Farmer locations & data

Interactive Web Interface
GIS Functionalities

Implementation Analysis

IMPLEMENTATION TIMELINE

progress 80%

Short
Medium
Long

TECHNICAL COMMERCIAL VIABILITY

progress 50%

Currently Viable
Viable in Short Term
Viable in Long Term

REGULATORY CONDUCIVENESS

progress 80%

Favorable
Challenging
Complex

INVESTMENT REQUIREMENTS

progress 50%

Small
Medium
Large

Key Implementation Consideration

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