Predicting high-magnitude, low-frequency crop losses using #MachineLearning: an application to cereal crops in #Ethiopia. New research by Michael Mann and Arun Malik @GWtweets, and James Warner @IFPRI https://t.co/bh8jjtDo9b #openaccess #ESSP @PIM_CGIAR
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Predicting high-magnitude, low-frequency crop losses using machine learning: an application to cereal crops in Ethiopia (open access) https://t.co/U6hF9WNehg
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CC: Predicting high-magnitude, low-frequency crop losses using machine learning: an application to cereal crops in Ethiopia https://t.co/gzKlQNjPgm https://t.co/6eJk9tsK4k
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Predicting high-magnitude, low-frequency crop losses using machine learning: an application to cereal crops in Ethiopia https://t.co/iLLSN9pA4H #climatechange