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    Machine Learning Crop Yield Models Based on Meteorological Features and Comparison with a Process-Based Model 

    Source: Artificial Intelligence for the Earth Systems:;2022:;volume( 001 ):;issue: 004
    Author(s): Qinqing Liu; Meijian Yang; Koushan Mohammadi; Dongjin Song; Jinbo Bi; Guiling Wang
    Publisher: American Meteorological Society
    Abstract: A major challenge for food security worldwide is the large interannual variability of crop yield, and climate change is expected to further exacerbate this volatility. Accurate prediction of the crop response to climate ...
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