Profitability prediction model for dairy farms using the random forest method

Maria Yli-Heikkilä and Jukka Tauriainen

No 182846, 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia from European Association of Agricultural Economists

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.

Keywords: Farm; Management (search for similar items in EconPapers)
Pages: 5
Date: 2014-08
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Persistent link: https://EconPapers.repec.org/RePEc:ags:eaae14:182846

DOI: 10.22004/ag.econ.182846

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