Conservation-first land intelligence platform for Africa using satellite data, AI, and mobile data collection (FIIP).
Fountains Farm Integrated Investment Program (FIIP)
Conservation-First Land Intelligence Platform for Africa
Satellite → Data → Field → Community → Value
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Overview
Africa does not lack resources — it lacks accessible intelligence to manage them sustainably.
The Fountains Farm Integrated Investment Program (FIIP) is a real-world, field-tested system built in Zimbabwe that combines satellite data, machine learning, and mobile tools to transform land into a multi-income, conservation-driven asset.
This system integrates:
- Gold exploration (reef + alluvial targeting)
- Vegetation monitoring and restoration
- Soil intelligence and productivity mapping
- Tree inventory and controlled clearing
- Grass and acacia-based silage systems
- Mobile data collection for real-time decision-making
All outputs are usable directly in the field via smartphone.
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Real-World Validation (Shangani, Zimbabwe)
- 200-hectare farm analysed and digitised
- NW–SE structural trend identified (reef orientation)
- Multiple high-priority gold zones mapped
- Gold recovered from a satellite-predicted zone
- Vegetation and biomass systems integrated
- Field workers actively using mobile tools
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Why This Matters
Across Africa, land is often:
- under-measured
- under-managed
- and historically exploited without local benefit
FIIP addresses this by:
- Bringing satellite intelligence to ground level
- Enabling community participation through mobile tools
- Creating multiple aligned income streams
- Supporting conservation alongside productivity
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Core Capabilities
Gold Prospectivity Mapping
- Iron oxide detection (gossans)
- Clay alteration mapping
- Vegetation stress indicators (NDVI decline)
- Structural lineament extraction
- Machine learning refinement
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Vegetation & Land Management
- NDVI (vegetation health)
- Moisture detection (MNDWI)
- Vegetation decline tracking
- Tree inventory and culling prioritisation
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Soil Intelligence
- Organic carbon estimation
- So …