# CASE STUDY

# Scalable Precision Crop Intelligence for Transmara Sugar

#### Company Profile

Transmara Sugar Company Limited (TSCL) is part of the Miwa Sugar Limited group, a leader in the African sugar industry with many years of experience in sugar production. Though highly digitized and equipped with an internal remote sensing team, TSCL faced challenges in achieving accurate and timely crop insights across its vast and complex growing region.

# Challenges

- **Limited Accuracy at Scale:** The team struggled to balance accuracy at a large scale with on-time delivery.
- **Difficult Crop Detection:** Sugarcane in Kenya often has a 12-year ratooning cycle, making it difficult to detect older crops via satellite.
- **Need for Specialized Support:** TSCL needed a partner to deliver accurate, large-scale crop intelligence efficiently and cost-effectively.

# Solution

TSCL engaged Farmdar to deploy CropScan, an AI and satellite-powered tool designed for precision, efficiency, and value at scale.

- Accurate mapping of sugarcane across **100,000+ hectares.**
- ~90% **ground-validated** accuracy.
- Operational efficiency, allowing internal teams to focus on higher-value tasks.
- Faster, cost-effective results **complementing** and enhancing internal team efforts.

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