AI/ML-Driven Smart Fertilizer Formulation & Distribution Framework
AI/ML-Driven Smart Fertilizer Formulation & Distribution Framework
Subsidised fertilizer distribution is central to crop productivity. Current allocation relies on largely static historical demand patterns rather than granular soil- and crop-specific data, and the supply chain lacks end-to-end track-and-trace.
Existing Issues & Gaps
Inefficient subsidy targeting and potential leakage due to lack of dealer/beneficiary-level traceability.
No data-driven formulation aligned to Soil Health Card and crop-stage data.
Limited real-time visibility into stock across warehouses and last-mile retail points.
Manual, error-prone demand estimation with no forecasting model.
Expected Outcomes & Desired Solution
An ML-based demand-forecasting engine (using historical consumption, Soil Health Card data, cropping pattern and weather inputs), integrated with a blockchain/distributed-ledger track-and-trace layer for subsidy IoT/GPS-enabled inventory module for real-time warehouse-to-retail stock visibility.
