Standardizing Cultivation with TraceX's Package of Practices (POP) Feature
In collaboration with the Sri Amaranarayana FPO in Chintamani, Karnataka, C-SAFE set out to improve outcomes for tomato farmers, many of whom were struggling with inconsistent yields, input inefficiencies, and limited access to markets.
To bridge the gap between traditional farming and modern agricultural excellence, C-SAFE partnered with TraceX to implement the Package of Practices (POP) feature—a solution designed to standardize tomato cultivation, reduce variability, and ensure farmers followed data-driven, sustainable practices from land preparation to harvest.
What followed was a transformation not just in yields, but in farmer confidence, traceability, and market readiness.
C-SAFE (Centre of Excellence for Sustainable Agriculture & Farm Excellence) was launched to celebrate the 150 years of Tata Group. C-SAFE works with the Sri Amaranarayana FPO at Chintamani, to help farmers in tomato cultivation and provide the market reach. C-Safe focuses on enhancing values for small marginal farmers.
Industry
Agribusiness
Use Case
Supply Chain Digitization with farm and crop management
Product Features Used
Farmer Profiling
Farm mapping
Crop Master
Package of Practices
Harvest Planning
Grading & Distribution
Challenge
The organization was facing increasing inconsistencies in yield, quality, and compliance. Farmers across different regions followed their own cultivation methods, leading to:
Unpredictable crop yields
Lack of alignment with sustainable farming protocols
Failure in meeting certification standards (Organic, Rainforest Alliance)
No system to monitor or enforce standardized agronomic practices
The Solution:
To address inconsistencies in cultivation and improve productivity, the agribusiness deployed TraceX’s Integrated Input Management and Package of Practices (PoP) system, which offered precision, proactivity, and real-time visibility across the farming lifecycle.
Season-Based Input Planning
Farmers could plan smarter for upcoming planting seasons. The system provided data-backed recommendations for:
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