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- Villalobos, J. Rene, et al. Show all 4 Authors
- Computers and electronics in agriculture 2017 v.143 pp. 273-285
- algorithms; business enterprises; case studies; cattle; data collection; decision making; feedlots; income; learning; markets; models; prediction; profit maximization; time series analysis; Mexico
- ... A decision-support, modeling tool is developed that can project future cattle growth patterns in a feedlot based on a low dimensionality dataset available at the start of the feeding process. This work adapts the predictive performance of two well-known statistical machine modeling tools, gradient boosting and random forest regression, to predict future cattle growth. Time series analysis techniqu ...