Classification of the Initial Development of Eucaliptus Using Data Mining Techniques

Lima, Eduardo do Valle; Souza, Zigomar Menezes de; Montanari, Rafael; Oliveira, Stanley Robson de Medeiros; Lovera, Lenon Henrique; Farhate, Camila Viana Vieira

doi:10.1590/01047760201723022296

Cited by 11 publications

(19 citation statements)

References 19 publications

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“…More complex approaches can also address the complexities of the data and their analysis. For instance, alternative computer methods, such as Decision trees, Neural Networks and Random Forest (Binoti et al, 2013;Lima et al, 2017) are being tested to substitute traditional statistical models to describe tree development. While these methods are suggested to be more precise than regression models (Vendruscolo et al, 2015), they have the disadvantage of being more difficult to implement and have potential, under extrapolation procedures, to provide illogical estimates (Sabatia and Burkhart, 2014).…”

Section: Figurementioning

confidence: 99%

HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

Filho

Mola‐Yudego

Ribeiro

et al. 2018

CERNE

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HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZILFERRAZ FILHO, A. C.; MOLA-YUDEGO, B.; RIBEIRO, A.; SCOLFORO, J. R. S.; LOOS, R. A.; SCOLFORO, H. F. Height-diameter models for Eucalyptus sp. plantations in Brazil. CERNE, v. 24, n. 1, p. 9-17, 2018. HIGHLIGHTSHeight-diameter models are provided for eucalyptus plantations in Brazil.A wide variety of stand conditions (age and tree densities) were covered in the database.Mixed modeling was used due to the hierarchical structure of the data (trees in plots).The models use diameter, age, and dominant height as predictor variables. ABSTRACTThe use of height-diameter models have important applications in the management of eucalyptus plantations. The aim of this paper is to provide adequate height models based on the diameter and stand variables that could be easily used and applied to plantation's management. The data was based on tests located in Espírito Santo and Bahia. A total of 312 plots, including 35 different treatments (different initial planting densities, number and severity of thinning operations, fertilization regimes, among others), and four different clones. This resulted in 2,407 conditions for 85,608 tree measurements. The constructed equations were based on mixed-effect models, in order to accommodate possible autocorrelations, to address variations between sites and to obtain locally calibrated estimates. Among the different model structures and combination of variables tested and presented, the best model showed a coefficient of determination of 0.953 and 0.988, for the fixed and fixed+random parts, respectively. The model included a random factor for measurements-within-tree and tree-within-plot. The bias of the fixed part was 0.208 cm (0.0659%). We believe the models in this study can have broad applications in management and inventory methods applied to plantations. HEIGHT-DIAMETER MODELS FOR EUCALYPTUS SP. PLANTATIONS IN BRAZIL 10 CERNEFERRAZ FILHO et al.

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Section: Figurementioning

confidence: 99%

HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

Filho

Mola‐Yudego

Ribeiro

et al. 2018

CERNE

View full text Add to dashboard Cite

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“…The Kappa coefficient is used to describe the measure of agreement between the predicted and observed classes. This coefficient ranges from 0 to 1, representing very poor to excellent classification results, respectively [26].…”

Section: Data Miningmentioning

confidence: 99%

“…From the confusion matrix, according to [26], it was possible to obtain performance evaluation measures.…”

Section: Data Miningmentioning

confidence: 99%

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Data Mining Generating Decision Trees to Alert System Against Death and Losses in Egg Production

Neto¹,

Montanhani²,

Bueno³

et al. 2020

Int J Innov Educ Res

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Climatic changes and high temperatures have been affecting animal production and the well-being of laying birds, with heat stress and high mortality rates, generating economic losses. Legacy databases can contain information to help model thermal comfort at climatic extremes. They can enable decision trees to be created through the use of data mining to prevent mortality and production losses. Thus, the objective of this study is to seek to develop decision trees, for application as an alert system, for the incidence of caloric stress in the production of layers. We used a database of three aviaries located in the city of Bastos-SP, collected in 2013. The data were organized in Excel® spreadsheets, and processed with the Weka® software with the J48 (C4.5) algorithm for mining of the data. The technique allowed the construction of decision trees that in the chosen sheds were classified with respectively 99.73%, 99.61%, and 98.71% of correct answers and with Kappa indexes equal to 0.9958, 0.9907 and 0.9663, which indicate that the three classifiers built are excellent. Thus, the proposed system, with the decision trees built, can serve as a basis for the construction of an alert system to be applied to the three warehouses simultaneously.

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“…However, the traditional methods used to assess both the development and the productivity of the forests is the measure of central tendency, which is generally average, in addition to a measure of dispersion, such as variance, without considering the affinities existing between surrounding samplings (Lima et al, 2017c). Therefore, with an increase in the necessity of further information on a production area, the use of accuracy instruments is it used applied to forestry (Pelissari et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Specific Management Areas as a Function of Dendrometric Properties of Eucalyptus and Physical-Chemical Attributes in an Oxisol

Galindo¹,

Montanari²,

Martins³

et al. 2018

JAS

Self Cite

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Eucalyptus cultivation has expanded considerably in Brazil, especially in regions where soils have low fertility, as in the Brazilian Cerrado (Brazilian Savannah). In order to achieve high yield, it is necessary to know the appropriate time and place to perform the soil management, and to assist in this decision-making process, mathematical and computational models has been used and are a promising alternative. The objective of this study was to model the influence of plant and soil physical-chemical attributes on Eucalyptus camaldulensis cultivation in an Oxisol (Latossolo Vermelho distrófico), with clayey texture with the purpose of demonstrating specific management areas closely associated with eucalyptus development. An experimental grid of approximately 2 hectares (ha) containing 40 sampling points were installed and later soil and plant attributes were collected for the determination of physical and chemical attributes in the 0-0.20 m and 0.20-0.40 m layers in Selvíria, MS, Brazil. The results were analyzed using classical and geostatistical statistics. The spatial dependence varied according to the physical attribute evaluated and the depth of sampling. In addition to the vertical variability, there was also horizontal variability between depths, since for the same attribute the range was different between the sampled layers.

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Classification of the Initial Development of Eucaliptus Using Data Mining Techniques

Cited by 11 publications

References 19 publications

HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

HEIGHT-DIAMETER MODELS FOR Eucalyptus sp. PLANTATIONS IN BRAZIL

Data Mining Generating Decision Trees to Alert System Against Death and Losses in Egg Production

Specific Management Areas as a Function of Dendrometric Properties of Eucalyptus and Physical-Chemical Attributes in an Oxisol

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