Profitability prediction model for dairy farms using the random forest method

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.


Subject(s):
Issue Date:
2014-08
Publication Type:
Conference Paper/ Presentation
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/182846
PURL Identifier:
http://purl.umn.edu/182846
Total Pages:
5




 Record created 2017-04-01, last modified 2019-08-26

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