Farmlens: Turning GIS and Farm Data into Daily Decisions
Lewis Kiganjo
Product Engineer
Why this architecture mattered
Farmlens had to work as a multi-tenant intelligence platform, not a simple record tracker. The goal was actionable recommendations from structured agronomy, GIS, and operations data.
Core architecture principles
- Modularity: crop, GIS, IoT, operations, and collaboration domains stay independently maintainable.
- Data centricity: outputs are derived from normalized models and scored computations.
- Tenant safety: organization context governs access and data visibility.
Delivery process
- Defined agronomy schema first (requirements, thresholds, guides, seasonal references).
- Connected spatial suitability logic to measurable environmental inputs.
- Layered operations and automation so recommendations translate into executable farm tasks.
- Added assistant pathways for English/Swahili guidance to improve field accessibility.
Practical insight
Most value came from linking modules end-to-end: mapping data to crop decisions, then to operations, then to feedback loops.
