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Sugarcane industry could benefit from having models to estimate sugar content in stalks by harvesting time and machine learning could be leveraged for this purpose. We built machine learning models and evaluated their outputs behaviors to verify if the models are trustworthy.
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This page is a summary of: How good are the models available for estimating sugar content in sugarcane?, European Journal of Agronomy, February 2020, Elsevier,
DOI: 10.1016/j.eja.2019.125992.
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