Targeted agricultural subsidy delivery using national digital ID

Sub-Saharan African governments face challenges such as subsidy fraud, elite capture, and non-targeted allocation. This causes an adverse impact on food security and poverty reduction.

This use case proposes the use of a national digital ID-based single sign-on to verify the farmer’s identity. This will help eliminate ghost beneficiaries through secure digital identity verification, preventing fraud and misallocation. Machine learning algorithms will analyse farmer data to accurately identify and prioritise vulnerable populations for subsidy distribution. The system ensures transparent, auditable subsidy allocation processes.