Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique
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DOI: 10.1016/j.agrformet.2020.107922
Abstract: Abstract Early and reliable seasonal crop yield forecasts are crucial for both farmers and decision-makers. Commonly-used methods for seasonal yield forecasting are based on process-based crop models or statistical regression-based models. Both have limitations, particularly… read more here.
Keywords: regression; wheat yield; model; yield ... See more keywords