PaddyTrust

PaddyTrust

Inspiration

PaddyTrust was inspired by the structural challenges facing smallholder rice farmers in Rwanda. Many farmers experience post-harvest losses and limited access to formal markets, yet the deeper issue is digital invisibility. Most operate informally, rely on basic feature phones, and lack verifiable economic records. Without trusted digital identity linked to farm performance, they remain excluded from formal credit and structured buyers.

We recognized that the problem is not simply production or infrastructure. It is the absence of identity-based trust within agricultural and financial systems.

What We Learned

Through research and review of agricultural value chains, we learned that lenders and buyers require reliable, longitudinal records to engage smallholder farmers. At the same time, most existing agricultural platforms assume smartphone access and internet connectivity, which excludes many rural farmers.

This led us to focus on three core principles:

i) Digital identity built from real agricultural activity

ii) USSD accessibility for feature phones

iii) Local language interaction to ensure usability

We concluded that farm performance records can serve as the foundation of economic identity.

Our Proposed Solution

PaddyTrust is a USSD-based platform designed to create verified digital identity profiles for farmers using basic phones. Through structured local-language prompts, farmers record planting activities, input purchases, and harvest quantities. These time-stamped records form a persistent digital performance history.

With farmer consent, lenders can access a secure view of this identity-linked performance data to assess creditworthiness and eligibility. Similarly, verified buyers can be matched to expected harvest quantities recorded in farmer profiles. By converting everyday farm activity into structured digital records, the system transforms identity into an economic asset.

Challenges Considered

Designing this proposal required balancing simplicity and institutional credibility. The system must remain accessible to low-literacy, low-connectivity users while producing reliable data for financial institutions and buyers. Ensuring consent-based data sharing and privacy protection within a low-tech environment is could be a challenge to the design.