Nazirini's Story

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Using machine learning to tackle crop disease

An incredible human story of the Ugandan developer, Nazirini Siraji, and the app created by her small team in Mbale, Uganda, with learning from their local Google Developer Group community. Harnessing the power of TensorFlow and Machine Learning, this free app helps farmers identify and treat Fall Armyworm, reducing the massive crop devastation currently impacting Uganda and Africa. Read more.

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"At a Google Study Jam, we taught ourselves TensorFlow. We started by building an Android app on top of an open-source API. The app allows farmers to spot infestations early, far beyond the capability of human eyes. And this was when we realized machine learning was the key to helping farmers."

-- Nazirini Siraji
Software Developer

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"At a Google Study Jam, we taught ourselves TensorFlow. We started by building an Android app on top of an open-source API. The app allows farmers to spot infestations early, far beyond the capability of human eyes. And this was when we realized machine learning was the key to helping farmers."

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