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84, root mean square error = 737 kg ha and mean absolute = 650 kg ha , 1 month before harvest. It was found that the estimation results change depending on different agricultural zones and temporal training settings. The findings of the present study provide a powerful potential tool for the yield prediction of barley using multi-source data and machine learning. © 2020 Society of Chemical Industry. It was found that the estimation results change depending on different agricultural zones and temporal training settings. The findings of the
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