Productivity has been decreasing on African farms every year. A machine learning tool can help.
"Any disruption that you see in the growing conditions would be propagated into our models and then will show what would be the impact in the production," Racine Ly, director of data management at the pan-African research non-profit Akademiya 2063, told"So basically you can have a map where you can know what are the most likely crops that you can grow in a certain area based on the growing condition trends.
"There are two ways of increasing food production. You have your crop management. But another way of maybe increasing production is to reduce losses. That's where AAgWa is focusing on.”"The work that Racine is doing is fantastic because on the African continent, especially in sub-Saharan Africa, it is very difficult to predict the yield that the farmers will have," said Canisius Kanangire, executive director of the African Agriculture Technology Foundation.
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