Centralized management of the national farmer registry and cultivation records.
Administrative oversight of all regional data submissions and crop reporting.
Centralized Repository for Farmers’ Data and Management, covering both agronomic and financial aspects.
Farmer’s identity and household details
Phone number(s), phone type, phone literacy, email, social networks
Administrative address and GPS coordinates
Credit, insurance or subsidies payments, bank and mobile money accounts
Includes field(s), covered, risk(s) covered, cost, company, amount repaid in case of the risk(s) materialize
Location, size, elevation, soil, land title and crop history
Credit record, farm business plan, active credit information
Date, spacing, intercropping, equipment, seeds used
Treatment applied, fertilzer, extension service interventions, pest & disease attacks & treatments, activities such as weeding, water usage, yield, loss, rainfall
Co-operatives/production cluster membership, markets the farmers is linked to, agri-businesses linkages, total amount of products sold and prices sold
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book
Uses an Android based mobile app to collect/submit information about the farmer and the homestead
A web-interface to collect reporting data on various indicators (component and contextual)
Web-based, menu-driven UI Interface to configure country/project level temptes, tools, units, conversions etc.,
Track progress, take corrective measures, Generate informed evidence-based data
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book
Lorem Ipsum is simply dummy text of the printing and typesetting industry.
Angular 14 with responsive and dynamic UI.
Angular Material or similar UI libraries for consistent styling.
Python (Flask or Django) for REST API development.
User authentication and authorization mechanisms.
Integration with satellite imagery analysis tools (e.g., Google Earth Engine).
Scripts for satellite data processing and yield forecasts.
MYSQL for structured data storage.
Normalized tables with foreign keys and indexes.
QR code generation libraries for Python.
Mapping libraries like Leaflet or Mapbox for KML visualization.
Docker for deployment to ensure scalability and maintainability.
