Web GIS mapping for farmers in Kenya
# Showcase
Web GIS mapping for Avocado farmers in Kenya. Leaflet has been used to provide drawing functionalities, Turf Js provides buffering while PostgrSQL + Postgis provides backend support for geospatial data!
Geo Django was then used to develop spatial content and datasets serialization with GeoJSON
Screenshot from 2022-03-08 21-35-46
The suitability locations were derived using the Analytical Hierarchial Process (AHP), with four classes computed.
Service area allocation shows the drive times from the center of each polygon ,with 5, 10, and 15 minute drive times.
Farmers can also query additional layers from the system, such as temperature data,soils, elevation and slope datasets.
The system uses OSRM for routing.
The administrators of the system assist the farmers with the pick-up schedules, farmers can then plan for the pick ups and be available at the right time.
The system also allows farmers to track their harvests in their local accounts, this helps them avoid scamming by brokers.
Finally, farmers can also report an incidence, such as malpractice, exploitation by stakeholders, or break out of a disease, this information is used to inform other farmers and notify the stakeholders to take action.