Forest Preservation

Use AI and satellite data to monitor, restore, and ensure sustainable forest preservation and supply chains.

Business impact

• Reforestation rate — Increases speed and scale of tree planting and forest recovery efforts
• Supply chain transparency — Improves traceability of raw materials to ensure deforestation-free sourcing
• Regulatory compliance — Supports adherence to deforestation regulations like the EU Deforestation Regulation
• Environmental impact — Reduces carbon emissions and biodiversity loss through better forest management
• Cost efficiency — Lowers costs by optimizing planting and monitoring with AI and remote sensing

Data requirements

• Satellite imagery (Image) — Provides high-resolution data to identify deforestation and monitor reforestation progress
• Drone data (Image) — Enables precise seed planting and local ecosystem monitoring
• Supply chain records (Structured) — Tracks origin and movement of raw materials for traceability
• On-the-ground verification (Text) — Validates AI predictions and satellite data with field inspections
• Environmental sensors (Numeric) — Collects data on soil, climate, and ecosystem health to inform AI models

AI methods and techniques

• Predictive AI — Forecasts deforestation risks and optimal reforestation sites using historical and real-time data
• Generative AI — Designs optimal planting patterns and ecosystem restoration plans
• Symbolic AI — Implements rule-based compliance checks for supply chain traceability and regulation adherence

AI models and model families

GPT-4, Google Earth AI, Custom deep learning models for satellite image analysis

Industries

Real-world evidence

9 documented case studies on record.

Companies using this: Barry Callebaut AG, Conservation International, Flash Forest, JDE Peet, Jaguar, Mombak, Nestlé, Starbucks Corp.