volume 75, issue 4, P281-287 2018
DOI: 10.1590/1678-992x-2017-0095
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Abstract: The Random Forest algorithm is a data mining technique used for classifying attributes in order of importance to explain the variation in an attribute-target, as soil CO 2 flux. This study aimed to identify prediction of soil CO 2 flux variables in management systems of sugarcane through the machine-learning algorithm called Random Forest. Two different management areas of sugarcane in the state of São Paulo, Brazil, were selected: burned and green. In each area, we assembled a sampling grid with 81 georeferen…

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