Open Skills Education (OSE™)

Open Skills Education (OSE™) is a global skills equity framework

  • Green marker → FCS is climate compliant
  • Red marker → FCS has compliance/deforestation risks
  • Green Plus (⭐) → FCS certified by Kenya Coffee School “Good 4 Trade”
  • Dynamic color shifts
    • If deforestation detected → marker turns red
    • If afforestation detected → marker turns green (or upgrades to Green+ if certified)

Below is a merged prototype code that integrates:

✅ NDVI & NDWI monitoring
✅ Marker coloring by compliance status
✅ Certification flagging (Good 4 Trade)
✅ Dynamic update for forest change events

KCS Coffee FCS & NACCU Unions – Compliance Map

Kenya Coffee FCS & Unions — EUDR Compliance Map

  • Full NACCU unions + Shiriki/KCCE FCS list (with placeholder geocoded coords).
  • NDVI (vegetation) & NDWI (water index) proxies for climate/EUDR checks.
  • Dynamic compliance logic:
    • 🟢 Green = compliant (healthy vegetation).
    • 🔴 Red = deforestation risk.
    • ⭐ Star = “Good 4 Trade” certified + compliant.
    • 🟤 Brown/🔵 Blue tags for water stress or stability.
  • Simulation of change detection (5 s later it marks red for deforestation or green for afforestation).

Next Steps (to make this production-ready)

  1. Replace NDVI/NDWI placeholders with real Copernicus Sentinel-2 layers
    • Activate WMS from Copernicus Data Space.
    • Plug in your actual INSTANCE_ID in the wmsBase.
    • Overlay NDVI & NDWI rasters live instead of the dummy numbers in cooperatives[].
  2. Dynamic Monitoring with IoT/Balloons
    • Add an API endpoint to ingest sensor data from soil-moisture probes, water-level sensors, or low-balloon imagery.
    • Update each marker dynamically in the dashboard based on real-time telemetry.
  3. Compliance Dashboard Layer
    • Add filters (e.g., “Show only non-compliant FCS”).
    • Color-coded legend for ⭐ / 🟢 / 🔴.
    • Export-to-CSV for reporting.
  4. Scaling Up
    • Replace placeholder coords with precise geocoded factory/farm centerpoints.
    • Link to shapefiles of coffee zones for better spatial accuracy.

Other KCS Research :

Low-Altitude Balloon IoT System for Coffee Cooperatives

🔹 Concept

  • Small weather balloons or tethered balloons (50–300m altitude).
  • Equipped with IoT sensor payloads:
    • Climate sensors (temperature, humidity, rainfall).
    • CO₂ concentration (forest degradation / compliance checks).
    • Soil moisture (with wireless relays).
    • Cameras or multispectral imaging (NDVI for vegetation, deforestation mapping).
  • Communication via LoRaWAN, 4G/5G, or satellite uplink.

🔹 Benefits for Coffee Sector

  1. Climate Monitoring
    • Balloons can detect microclimate variations affecting coffee productivity.
    • Helps meet EUDR compliance by tracking deforestation & water use.
  2. Connectivity for Remote Cooperatives
    • Balloons act as floating base stations for IoT sensors in remote farms.
    • Farmers can receive updates via mobile apps or SMS.
  3. Deforestation & River Flow Monitoring
    • Balloons capture near-real-time imagery.
    • Rivers drying = flagged in system (water scarcity risk).
    • Forest cover change = alerts for potential non-compliance.
  4. Certification Support (KCS “Good 4 Trade”)
    • Cooperatives with green balloon data = compliant.
    • Helps prove sustainable practices to EU importers.

🔹 Example Deployment Model

  • 1 balloon per county union (hovering over 20–30 km radius).
  • Each balloon relays data from IoT ground sensors in farms.
  • Data uploaded to KCS GIS Dashboard (the map we designed earlier).

🔹 Simple Tech Stack

  • Balloon: Weather balloon or tethered helium balloon.
  • IoT: Arduino/ESP32 + LoRaWAN + environmental sensors.
  • Data: Sent to KCS GIS + Copernicus satellite overlays.
  • Dashboard: WordPress + Leaflet.js + EUDR compliance markers.

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