2022 | Excellent | Farming | SDG2 | Tanzania, the United Republic of
Deep Learning Tools for Early Detection of Diseases Affecting Common Bean and Irish Potato in the Southern Highlands Regions of Tanzania

Company or Institution

The Nelson Mandela African Institution of Science and Technology






Tanzania, the United Republic of

Sustainable Development Goals (SDGs)

SDG 2: Zero Hunger

General description of the AI solution

Common beans and Irish potatoes are among the important food and cash crops to most smallholder farmers in Tanzania. Despite their importance in the household economy and food security, yields are generally low due to the effects of diseases, specifically Bean rust and Bean anthracnose for Common beans, and Early and Late blight for Irish potatoes. The current management of these four diseases includes the removal of the affected leaves and plants to reduce their spread, signifying that early detection is the key to successful management. This project will therefore develop a Deep Learning tools to detect early these four diseases based on leaf imagery data and enable the farmer to make the appropriate decision for managing the spread of the diseases. The proposed project consortium of agricultural and machine learning researchers aims to deliver a two-way approach for the effective management of these crop diseases in Tanzania and other parts of Africa using Artificial Intelligence.


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International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana



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