Examinando por Autor "Castaño Robayo, María Haidy"
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- ÍtemPredicción de la capacidad de intercambio catiónico (CIC) en cultivos de aguacate empleando modelos machine learning(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Castaño Robayo, María Haidy; González Veloza, José John FredyHigh food demand requires optimizing soil properties for better production. Cation exchange capacity (CEC) indicates the capacity of the soil to retain and exchange nutrients to plants and affects crop fertilization. A high CEC provides a greater capacity to dispose of nutrients while a low value indicates lower availability of nutrients. Therefore, the CEC helps to propose fertilization strategies to reduce costs and environmental effects. In this work, supervised Machine Learning models were proposed to establish the variables that influence the CEC in the avocado crop. The study used a database provided by la Corporación Colombiana de Investigación Agropecuaria Corpoica and published in open data Colombia.