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Data and Coffee Quality Framework by Kenya coffee school

Barista MtaaniUncategorized Data and Coffee Quality Framework by Kenya coffee school
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Data and Coffee Quality Framework by Kenya coffee school and Barista Mtaani

KCS-ABCVA™ Scoring Form with GIS Analysis

KCS-ABCVA™ Global Cupping Standard

Scoring Form with Forest Cover Analysis

Farm Location Analysis

Click on the map to select a farm location
Latitude:
Longitude:
Forest Cover (250m radius):
Economic Score: –
Forest data based on ESA WorldCover 2020

AROMATICS: Sensorial (S) — max 40

Aromatic AxisScore (0–4)Notes
Fragrance / Aroma
Flavor
Aftertaste
Acidity
Body
Balance
Sweetness
Uniformity
Clean Cup
Overall
S (Sensorial): 0 / 40

ECONOMIC / TRACEABILITY (E) — max 30


This value is automatically calculated based on forest cover analysis

CHARACTER / INTEGRITY (C) — max 30



FINAL SCORE = 0 / 100

How it works:

  1. Click on the map to select a farm location
  2. The system analyzes forest cover within a 250m radius
  3. Economic score is automatically calculated based on forest percentage
  4. Fill in the Sensorial and Character scores
  5. Final score is calculated automatically

Forest Cover to Economic Score Conversion:

  • ≥ 60% forest → 30 points
  • 40-59% forest → 25 points
  • 20-39% forest → 20 points
  • 10-19% forest → 10 points
  • < 10% forest → 0 points

KCS-ABCVA™ Scoring Form with GIS Analysis

Farm Location Analysis

Click on the map to select a farm location
Latitude: -
Longitude: -
Forest Cover (250m radius):
-
Economic Score: -
Forest data based on ESA WorldCover 2020 (Simulated)

KCS-ABCVA™ Global Cupping Standard — Scoring Form

AROMATICS: Sensorial (S) — max 40

Aromatic AxisScore (0–4)Notes
Fragrance / Aroma
Flavor
Aftertaste
Acidity
Body
Balance
Sweetness
Uniformity
Clean Cup
Overall
S (Sensorial): 0 / 40

ECONOMIC / TRACEABILITY (E) — max 30


This value is automatically calculated based on forest cover analysis

CHARACTER / INTEGRITY (C) — max 30




FINAL SCORE = 0 / 100

How it works:

  1. Click on the map to select a farm location
  2. The system analyzes forest cover within a 250m radius (Simulated)
  3. Economic score is automatically calculated based on forest percentage
  4. Fill in the Sensorial and Character scores
  5. Final score is calculated automatically

Forest Cover to Economic Score Conversion:

  • $ge$ 60% forest $to$ 30 points
  • 40-59% forest $to$ 25 points
  • 20-39% forest $to$ 20 points
  • 10-19% forest $to$ 10 points
  • $<$ 10% forest $to$ 0 points

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