The initiative targets the UNESCO World Heritage region, where farmers typically cultivate food on tiny plots adjacent to informal settlements. By processing seasonal growth cycles, yield variability, and local market pricing, the team provides growers with actionable planting strategies. This approach removes the guesswork from crop selection, allowing farmers to prioritize water and labor without needing expensive digital infrastructure or sensors.

This shift moves micro-farming away from subsistence toward predictable market participation. Hadley Christoffels, founder of dataDecisions.ai, emphasizes that these growers represent an essential, often overlooked, component of the food supply chain. By integrating data-driven insights into these local systems, the project aims to secure food supplies where hunger is most immediate and elevate the status of micro-farmers within the broader economic landscape.