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Random forest model to predict the height of Eucalyptus. Authorship: LIMA, E. de S.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; MONTANARI, R.; FARHATE, C. V. V. Eucalyptus (Eucalyptus urograndis) production has significantly advanced over the past few years in Brazil, especially with regard to acreage and productivity. Machine learning has made significant ad... ... Repository: BDPA Publication year: 2022
Predictive models to estimate carbon stocks in agroforestry systems. Authorship: MARÇAL, M. F. M.; SOUZA, Z. M. de; TAVARES, R. L. M.; FARHATE, C. V. V.; OLIVEIRA, S. R. de M.; GALINDO, F. S. Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which co... ... Repository: BDPA Publication year: 2021
Use of data mining techniques to classify soil CO2 emission induced by crop management in sugarcane field. Authorship: FARHATE, C. V. V.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; TAVARES, R. L. M.; CARVALHO, J. L. N. Soil CO2 emissions are regarded as one of the largest flows of the global carbon cycle and small changes in their magnitude can have a large effect on the CO2 concentration in the atmosphere. Thus, a... ... Repository: BDPA Publication year: 2018
Prediction of soil CO2 flux in sugarcane management systems using the Random Forest approach. Authorship: TAVARES, R. L. M.; OLIVEIRA, S. R. de M.; BARROS, F. M. M. de; FARHATE, C. V. V.; SOUZA, Z. M. de; LA SCALA JUNIOR, N. 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 CO2 flux. This study ai... ... Repository: BDPA Publication year: 2018
Classification of soil respiration in areas of sugarcane renewal using decision tree. Authorship: FARHATE, C. V. V.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; CARVALHO, J. L. N.; LA SCALA JÚNIOR, N.; SANTOS, A. P. G. ABSTRACT: The use of data mining is a promising alternative to predict soil respiration from correlated variables. Our objective was to build a model using variable selection and decision tree inducti... ... Repository: BDPA Publication year: 2018
Classification of the initial development of eucaliptus using data mining techniques. Authorship: LIMA, E. de S.; SOUZA, Z. M. de; OLIVEIRA, S. R. de M.; LOVERA, L. H.; FARHATE, C. V. V. Abstract - Eucalyptus plantation has expanded considerably in Brazil, especially in regions where soils have low fertility, such as in Brazilian Cerrados. To achieve greater productivity, it is essent... ... Repository: BDPA Publication year: 2017

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