CASE STUDY

Optimizing Sugarcane Operations with Data

Company Profile

One of Pakistan's largest sugar mills faced inefficiencies in supply chain tracking and variety management, impacting production planning and operations. The mill operates on 26,000 acres of land and processes 200,000 tons of sugar annually, working with over 10,000 small-scale farmers to ensure a consistent supply.

Challenges

• Lack of Digital Tracking: Farmers and cane supply were recorded manually, leading to inaccuracies.
• Unclear Supply Chain Visibility: Difficulty in tracking sugarcane acreage, variety, and growth stages.
• Variety Development Issues: Farmers received disease-resistant seeds, but no system tracked their planting.
• Cumbersome Field Visits: Time-consuming and inefficient on-ground validation processes for yield tracking.
• Limited Data-Backed Decision-Making: Production planning was based on assumptions rather than real-time crop data.

Solution

Farmdar implemented CropScan for remote sensing and AI-driven crop monitoring, identifying sugarcane acreage, varieties, and harvest progress. AgriChain's eSurvey was used to digitize 4,857 farmers, assigning each a unique ID for precise tracking of fields, cane variety, and supply chain contribution.

Additionally, Variety Detection helped identify low-yield and pest-prone crops like NSG-59, enabling targeted intervention. Harvest Monitoring provided real-time insights into crop readiness, allowing the mill to plan procurement and processing efficiently.

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