Projects

The project seeks to provide valuable data-driven insights and tools that will be used in decision support and policy formulation to better manage the agricultural activities and enhance agricultural productivity in Murang’a County, and subsequently across the country

The participatory project activates the community in the Muringato catchment area to assess climate change impacts, develop an early warning system for risky weather conditions and implement reforestation measures.

The project seeks to develop an AI-powered algorithm to support agricultural monitoring using advanced satellite technology and artificial intelligence.

This project focused on developing community-based approaches to environmental conservation in the Muringato Catchment Area. The project engaged local communities in sustainable management practices and monitoring of ecosystem health indicators.

This consultancy project developed and implemented advanced AI and machine learning techniques for mapping small-scale agricultural activities using satellite imagery. The project delivered detailed maps and analytical tools to help monitor agricultural production.

This consultancy surveyed water abstraction patterns in the Muringato basin to inform sustainable water resource management. The project identified key stakeholders, measured extraction rates, and provided recommendations for equitable water allocation.