An AI app that’s helping small-holder farmers reduce losses in Ghana
Context
Smallholder farmers in rural communities mostly lack access to reliable information and real-time help with regards to pest control and disease management. This leads to over 30% of lost yield for farmers in many parts of Africa.
Solution
Okuafo Foundation is a smartphone application using AI to determine and diagnose diseases in crops at an early stage – without an internet connection. This means farmers will spend little or no money on pesticides and have increased yield enabling them to support themselves and their families beyond the farming season. The App uses an innovative user interface design. The interface allows you to take a photo of a crop, then the app analyses the crop and detects the disease (if any). The predicted disease is shown as a number (Example: 1, 2, 3, 4…). The farmer can then tap on the number and get further insights.
The applications are trained with images of crops both healthy and infested (example images). The machine learning model is built to learn from these images, learn the patterns and features of diseases. With an average accuracy of 93.3%, the applications are then able to predict whether a given image is healthy or infested. Due to the complexity of our algorithms, the machine learning model is able to extract very fine details which enables it to detect diseases at an early stage even before the human eye notices it.
Impact
The machine learning platform has helped 30,000 farmers reduce their crop losses and improve their harvest by 50 per cent, in Ghana, Nigeria, Togo, and Burkina Faso.
