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Abstract

We applied an ensemble learning method known as random forests, which is widely used in supervised machine learning, to predict the profitability ratio of dairy farms based on financial and production related variables. The predictive model was implemented as a web service to enable farmers to calculate the profitability of their business. Hereby, farmers can better assess the sustainability of their business over time, or in comparison to other farms in the sector.

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