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Prediction of an Occupational Comfort Index for Agricultural Tractor Operation in Sugarcane Cultivation

Pandorfi, Héliton ; Sobrinho, Antonio Travassos ; de Oliveira, Veronildo Souza ; Guiselini, Cristiane ; de Almeida, Gledson Luiz Pontes ; de Oliveira, Maria Eduarda Gonçalves ; de Melo, Maria Vitória Neves ; da Silva, Marcos Vinícius

Sugar tech : an international journal of sugar crops & related industries, 2023-06, Vol.25 (3), p.630-637 [Periódico revisado por pares]

New Delhi: Springer India

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Título:
Prediction of an Occupational Comfort Index for Agricultural Tractor Operation in Sugarcane Cultivation
Autor: Pandorfi, Héliton ; Sobrinho, Antonio Travassos ; de Oliveira, Veronildo Souza ; Guiselini, Cristiane ; de Almeida, Gledson Luiz Pontes ; de Oliveira, Maria Eduarda Gonçalves ; de Melo, Maria Vitória Neves ; da Silva, Marcos Vinícius
Assuntos: Agricultural equipment ; Agriculture ; Air temperature ; Biomedical and Life Sciences ; Comfort ; Harrowing ; Heart rate ; Life Sciences ; Mathematical models ; Mechanization ; Multivariate analysis ; Noise levels ; Operators (mathematics) ; Physical workload ; Plowing ; Prediction models ; Principal components analysis ; Regression analysis ; Relative humidity ; Research Article ; Sugarcane ; Tractors ; Wind speed ; Workload
É parte de: Sugar tech : an international journal of sugar crops & related industries, 2023-06, Vol.25 (3), p.630-637
Descrição: Agricultural mechanization is essential to agriculture, but during its practice, tractor operators are still exposed to probable stress agents, which depress their work efficiency. The present study was conducted to formulate a representative multivariate mathematical model of the occupational comfort index of an agricultural tractor, based on thermoacoustic indicators, in the periodic soil preparation. The study was carried out on 4.3 ha, using a mechanized set without an ergonomic cabin, coupled with the respective implements, for plowing, harrowing and furrowing operations, for a daily workday of eight hours, performed by the same operator. Data records on the work platform were as follows: air temperature (°C), black globe temperature (°C), relative air humidity (%), operator's heart rate (bpm), head peripheral temperature (°C), arm peripheral temperature (°C), noise (dB) and wind speed (m s −1 ). Data were subjected to exploratory analysis using the principal component analysis (PCA). The occupational comfort index (OCI) prediction model was created using multivariate linear regression analysis. The OCI validation achieved excellent performance, based on the high values of agreement (> 0.90) and confidence (0.86), which allowed its use to characterize the physical workload and unsanitary conditions for agricultural tractor operators.
Editor: New Delhi: Springer India
Idioma: Inglês

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Prediction of an Occupational Comfort Index for Agricultural Tractor Operation in Sugarcane Cultivation

Pandorfi, Héliton ; Sobrinho, Antonio Travassos ; de Oliveira, Veronildo Souza ; Guiselini, Cristiane ; de Almeida, Gledson Luiz Pontes ; de Oliveira, Maria Eduarda Gonçalves ; de Melo, Maria Vitória Neves ; da Silva, Marcos Vinícius

New Delhi: Springer India

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