The food system faces challenges like: unpredictable yields caused by soil variability, long-term soil degradation from intensive farming, evolving sustainability regulations that demand traceability, and inefficient fertilization practices lacking transparency. These issues not only drive up costs, diminish soil health, and produce inconsistent harvests for farmers, but also lead to supply chain disruptions and compliance difficulties for agribusinesses and food manufacturers. A unified, data-driven approach is therefore critical to stabilize yields, revitalize soil, and ensure regulatory adherence—ultimately creating a more resilient and sustainable food system.

Quyca’s data-driven platform solves these challenges through precision sampling, AI-powered nutrient optimization, and targeted fertilizer application. First, we map soil variability with geolocalized sampling and sectorized field analysis, capturing each plot’s specific conditions. Our intelligent recipe generator then uses these insights—alongside historical data, farmer and manufacturer goals, and local resources—to develop tailored nutrient plans. Finally, we integrate seamlessly with existing equipment for precise application, cutting costs for farmers and ensuring a consistent, traceable supply chain that meets evolving sustainability requirements.