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Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield

Tongxi Hu, Xuesong Zhang, Gil Bohrer, Yanlan Liu, Yuyu Zhou, Jay F. Martin, Yang Li, Kaiguang Zhao

2023Agricultural and Forest Meteorology124 citationsDOI

Topics & Concepts

InterpretabilityRandom forestMachine learningCrop yieldClimate changeOverfittingBayesian probabilityPredictive powerYield (engineering)Support vector machinePredictive modellingArtificial neural networkArtificial intelligenceRegressionEconometricsComputer scienceStatisticsMathematicsEcologyEpistemologyPhilosophyMaterials scienceBiologyMetallurgyClimate change impacts on agricultureAgricultural risk and resilienceClimate variability and models
Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield | Litcius