Inspiration

500 million small farmers lack the credit history lenders require to make a loan

Patricia a small female farmer from Kitwe, Zambia She grows vegetables (Chinese cabbage, lettuce, tomatoes, carrots, sweet potatoes, Cassava) on 2 hectors piece of land

What it does

Agri360 alternative credit risk assessment model helps financial institutions with an agriculturally relevant and data-driven model to assess risk and develop loans that fit the needs of smallholder farmers. 

The agri360 mobile app allows the farmer to record and track all the activities digitally. This empowers farmers to strategically plan their crop yield and yearly income through smart contact agreements.

Ultimately this opens up financial opportunities and improves their ability to expand business and grow sustainably.

How we built it

We conducted the interviews of 250 small female farmer’s in Zambia to identify the key challenges they face day to day.

We developed a credit risk score using TensorFlow ML platform and Blockchain technology. We used Visa API for B2B payments

Challenges we ran into

The biggest challenge we faced to find the good quality dataset to train ML model to predict credit risk score with high accuracy.

Accomplishments that we're proud of

A digital platform, Agri360 to introduce people like Patricia to formal financial channels

What we learned

You Need to See the Bigger Picture

What's next for Agri360

We plan to launch Agri360 in Zambia in the coming weeks

Share this project:
×

Updates