Agriculture & Food Security

Data-Driven Farming for Kitui Sorghum Farmers

Data-Driven Farming for Kitui Sorghum Farmers

The Goal

We empowered the Kitui County government to improve agricultural productivity by using Geo-Information, AI, and Machine Learning to create a smart farm business planning and record-keeping system for sorghum farmers.

Overview

In Kitui County, we implemented a project that uses geospatial data and technology to boost sorghum farming. By mapping farms with data on land ownership, soil types, and expected yields, we created a comprehensive farm registry. Our Geo-IT tools enable efficient storage of crucial farm records like crop yields and irrigation plans, replacing manual processes. Furthermore, we've integrated Geo-AI and Machine Learning to analyze farm data, identify trends, and optimize resource allocation, such as strategically positioning agricultural extension officers to better serve farmers based on predicted needs and productivity.

What we did

  • Database of sorghum farmers and mapped farmland (ownership, terrain, soils, expected yield)
  • Farm records for crops, irrigation and equipment
  • Dashboard that shows where to place extension officers

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