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Penn State app uses TensorFlow to help African farmers detect plant diseases

Researchers at Penn State University are developing a mobile application that utilizes TensorFlow to assist African farmers in improving crop yields. This initiative aims to provide farmers with tools to identify and manage plant diseases, thereby enhancing agricultural productivity. The project has received recognition from Google for its innovative approach to applying AI in agriculture. AI

RANK_REASON Academic research project from a university applying AI to a specific problem domain.

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Penn State app uses TensorFlow to help African farmers detect plant diseases

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  1. Practical AI TIER_1 English(EN) · Practical AI LLC ·

    Helping African farmers with TensorFlow

    <p>Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.</p><p><br /></p><p>Sponsors:</p><ul><li><a href="https://hi…