Selection Error
Mostrando 1-12 de 147 artigos, teses e dissertações.
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1. NONLINEAR MIXED-EFFECT HEIGHT-DIAMETER MODEL FOR Pinus pinaster AIT. AND Pinus radiata D. DON
ABSTRACT Tree height-diameter (H-D) relationships are important for routine forest assessment. Several H-D relationships have been developed for different species and more are still evolving. This study introduces new H-D model developed for Pinus pinaster and Pinus radiata in Spain, based on data from 184 and 96 permanent sample plots, respectively, collect
CERNE. Publicado em: 2020-03
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2. PERTINENCE CURVES IN FUZZY MODELING OF THE PRODUCTIVE RESPONSES OF BROILERS
ABSTRACT The selection of the type of fuzzy systems pertinence curve allows a better representation of the mathematical model and a smaller simulation error. We aimed to study the effect of pertinence curves in fuzzy modeling of broiler performance, created in different production systems. For the development and testing of fuzzy models, three commercial avi
Eng. Agríc.. Publicado em: 19/06/2019
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3. Sampling Alternatives for Eucalyptus Trees in Integrated Crop-Livestock-Forest System
ABSTRACT The aim of this paper was to compare methods and sampling procedures applied to eucalyptus grown under different spatial arrangements in an integrated crop-livestock-forest system (ICLF). The study was carried out in Sinop county, Mato Grosso state, Brazil. Arrangements combining fixed and variable area methods to simple random and systematic sampli
Floresta Ambient.. Publicado em: 13/05/2019
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4. Allometric models to estimate tree height in northern Amazonian ecotone forests
RESUMO Modelos alométricos que definem o relacionamento entre diâmetro do tronco e a altura total da árvore na bacia amazônica são importantes porque refinam as estimativas de fluxo e estoques de carbono arbóreo na região. Este estudo testou diferentes modelos alométricos para estimar a altura total de árvores a partir do diâmetro do tronco em uma
Acta Amaz.. Publicado em: 06/05/2019
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5. Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of soil environmental covariables could drive the accuracy of machine learning techniques. Thus, this study evaluated the ability of the Random Forest algorithm to predict soil classes from different training datasets and extrapolate such information to a similar a
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-05
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6. Applying COCOMO II for a DO-178C Safety-Critical Software Effort Estimation
ABSTRACT: This paper provides a real example of applying COCOMO II as an estimation technique for the required software development effort in a safety-critical software application project following the DO-178C processes. The main goal and contribution of the case study is to support the research on software effort estimation and to provide software practiti
J. Aerosp. Technol. Manag.. Publicado em: 28/03/2019
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7. Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data
ABSTRACT Quantification of soil properties is essential for better understanding of the environment and better soil management. The conventional techniques of laboratory analysis are sometimes costly and detrimental to the environment. Thus, development of new techniques for soil analysis that do not generate residues, such as spectroscopy, is increasingly n
Rev. Bras. Ciênc. Solo. Publicado em: 07/01/2019
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8. Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions
ABSTRACT This research aimed to determine an equation to estimate the leaf area of Erythroxylum simonis using the length and width of leaf blades. Two hundred leaf blades of this species were collected in Mata do Pau-Ferro, a State Park located in Areia, PB, Brazil. Regression analyses were used to determine the estimation equations. The linear, linear with
Floresta Ambient.. Publicado em: 18/06/2018
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9. Artificial neural networks and linear discriminant analysis in early selection among sugarcane families
Abstract One of the major challenges in sugarcane breeding programs is an efficient selection of genotypes in the initial phase. The purpose of this study was to compare modelling by artificial neural networks (ANN) and linear discriminant analysis (LDA) as alternatives for the selection of promising sugarcane families based on the indirect traits number of
Crop Breed. Appl. Biotechnol.. Publicado em: 2017-12
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10. Allele dosage of PVY resistance genes in potato clones using molecular markers
Abstract Potato virus Y (PVY) is considered one of the most important pathogens in potato crop. The objective of this study was to estimate the allele dosage of Ry genes and select clones with multiple copies of resistance alleles to be used as parents in potato breeding programs. Seven clonal families were genotyped, including five parents with resistance t
Crop Breed. Appl. Biotechnol.. Publicado em: 2017-12
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11. Multivariate Calibration to Determine Phorbol Esters in Seeds of Jatropha curcas L. Using Near Infrared and Ultraviolet Spectroscopies
The building of partial least squares (PLS) regression models using near infrared (NIR) and ultraviolet (UV) spectroscopies to estimate the concentrations of phorbol esters (PEs) in Jatropha curcas L. is presented. The models were built using two algorithms for variable selection, ordered predictors selection (OPS) and genetic algorithm (GA). Chromatographic
J. Braz. Chem. Soc.. Publicado em: 2017-08
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12. Are traditional body fat equations and anthropometry valid to estimate body fat in children and adolescents living with HIV?
Abstract The aim of this study was to assess the validity of traditional anthropometric equations and to develop predictive equations of total body and trunk fat for children and adolescents living with HIV based on anthropometric measurements. Forty-eight children and adolescents of both sexes (24 boys) aged 7-17 years, living in Santa Catarina, Brazil, par
Braz J Infect Dis. Publicado em: 2017-08