Tanzania leverages AI to speed up development of climate-proof bean varieties

In the trial farm of the Tanzania Agriculture Research Institute (TARI) in partnership with the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), researchers are working on a project called Artemis, which is using Artificial Intelligence (AI) to speed up breeding.

For the last three years, CGIAR researcher Dr. Teshale Mamo has been cross-breeding the popular yellow beans with higher yielding, disease-tolerant varieties from Colombia – where the Alliance of Bioversity International and CIAT operates the largest genebank for beans. The new varieties will be tested in different locations and made available to National Research Stations across Africa.

The cross-breeding process took three years because “phenotyping,” identifying traits like how many flowers plants have, was done manually. Generally, to collect enough data to understand how plants respond to the environment, breeding takes five years or more.

Artificial Intelligence-based phenotyping can speed-up the breeding cycle by 50%. “With food security pressures, speeding up the breeding processes will help us get new varieties to increase productivity on farms,” says Dr. Mamo.

Meet Bruno: a digital tool made from bicycle parts and selfie sticks, and other easily accessible local materials that could fix a bike, microwave or radio. With two android phones strapped to its sides, it can quickly capture data like number of pods in seconds.