2018
DOI: 10.1590/1678-992x-2016-0473
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Classification of soil respiration in areas of sugarcane renewal using decision tree

Abstract: 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 induction to predict different levels of soil respiration, taking into account physical, chemical and microbiological variables of soil as well as precipitation in renewal of sugarcane areas. The original dataset was composed of 19 variables (18 independent variables and one dependent (or response) variable). The variable… Show more

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Cited by 5 publications
(7 citation statements)
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References 32 publications
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“…In addition, the results obtained for the three depths in the studied scenarios demonstrated that the data mining techniques enabled the development of an efficient model for the classification of C stock in ABE by using feature selection methods and the J48 algorithm for the decision tree induction. The results of data mining in ABE were consistent with the literature (Farhate et al., 2018; Lima et al., 2017), indicating that data mining techniques are applicable in soil science.…”
Section: Discussionsupporting
confidence: 87%
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“…In addition, the results obtained for the three depths in the studied scenarios demonstrated that the data mining techniques enabled the development of an efficient model for the classification of C stock in ABE by using feature selection methods and the J48 algorithm for the decision tree induction. The results of data mining in ABE were consistent with the literature (Farhate et al., 2018; Lima et al., 2017), indicating that data mining techniques are applicable in soil science.…”
Section: Discussionsupporting
confidence: 87%
“…For this study, the soil sampling was conducted in rural areas in the southern region of the state of Amazonas, in areas with five different land uses and the presence of an anthropogenic A horizon, according to Santos et al (2018). The forest and pasture areas are located in the municipality of Novo Aripuanã (07 • 51′30″ S; 61 • 18′01″ W), and the coffee, cacao, and bean cultivation areas are situated in the municipality of Apuí (07 • 12′05″ S; 59 • 39′35″ W) ( Figure 1).…”
Section: Description Of the Study Areamentioning
confidence: 99%
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“…Every 10ºC the respiration rate doubles, up to 35-40ºC, from which temperatures are limiting; in turn, it is also limited below 5°C (Li et al, 2018). The respiration rate (TRS) also increases as the volumetric content of water or moisture increases, which is, in turn, a numerical, percentage measure of soil moisture to saturation levels, where this rate begins to decline and begins to produce anaerobiosis with denitrification and volatilization of sulfur (Vieira et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Cada 10ºC se duplica la tasa de respiración, hasta llegar a los 35-40ºC, a partir de los cuales las temperaturas son limitantes; a su vez también queda limitada por debajo de 5°C (Li et al, 2018). La tasa de respiración (TRS) también aumenta conforme aumenta el contenido volumétrico de agua o humedad, que es a su vez, una medida numérica, porcentual, de la humedad del suelo hasta niveles de saturación, donde esta tasa comienza a declinar y se comienza a producir anaerobiosis con desnitrificación y volatilización de azufre (Vieira et al, 2018).…”
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