AgriPredict provides cutting edge tools to help farmers manage risks.
The lack of access to timely agricultural information for most farmers, especially the majority in the rural areas, has for a long time posed a threat to their yields, incomes and lives. With the use of machine learning, we are able to offer farmers information on demand that is delivered with accessibility in mind for all farmers
Years of research and feedback on the ground have resulted in specific services being offered on our platform as a direct response to farmer’s challenges and needs.
Crop Disease Classification
Agripredict sets to leverage the use of machine learning to diagnose common plant pests and diseases.
The model uses the MobileNet V1 architecture, covering diseases for crops such as Maize (Corn), Soy, Cabbage and Tomatoes. It is trained on an internal AgriPredict dataset containing over 14 classes. AgriPredict intends to publish more versions of the model in the future with better accuracy and performance.
Access To Our Services
Access to our services via our mobile Application or any feature phone by simply dialing *404# on the MTN network.
Founded in September at a hackathon called AgriHack where AgriPredict was the winner of the competition. This served the foundation for a data company that is driven by change and impact.
Officially incorporated in October. SNV supported the development of the AgriPredict platform.
Development of the Application. Participated in the Youth & Farming Panel at FAO in Rome. Winners of the Africa Conference – November, Egypt. Winners of Slush GIA – November, Finland.
In partnership with SNV, our pilot began in Eastern Province in Lundazi and Katete Districts. Fact finding mission to understand farmer challenges.
Developed the AgriPredict Market Access Service.
In partnership with World Vision, developed
the Early Warning System service.
Piloted in Eastern and Northern parts of Zambia.
Farmer and stakeholder training sessions conducted in Katete, Mpika, Kasama and Luwingu.
Awarded National Technology Business Centre Grant.