ARTIFICIAL NEURAL NETWORKS TO PREDICT EFFICIENCIES IN SEMI-MECHANIZED BEAN (Phaseolus vulgaris L.) HARVEST

Souza, Cristiano Márcio Alves de; Padilha, Marcondes de S.; Arcoverde, Sálvio Napoleão Soares; Rafull, Leidy Zulys Leyva

doi:10.1590/1809-4430-eng.agric.v42nepe20210097/2022

Cited by 1 publication

(1 citation statement)

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“…A decision-making structure was constructed to analyze the ambient noise and the noise from each side obtained at the two tractor test sites, according to Souza et al (2022).…”

Section: Methodsmentioning

confidence: 99%

Occupational noise level exposures outside and inside agricultural tractor cabs

Souza¹,

Junior²,

Silva³

et al. 2023

OLEL

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The farm tractor fleet in the Brazilian market has increased. They are machines known to emit much noise. Noise can cause severe damage and disturbance in people who work directly with and around these machines. Therefore, the work aimed to evaluate the noise levels emitted by two cab farm tractors of different engine power, analyzing the effect of engine speed and distance radius from the noise source on occupational health. The noise level outside and inside of the tractor cab, the attenuation index, and the noise level reduction provided by the cab sound insulation were determined. Attenuation indexes and noise reduction ratings were satisfactory in studying the noise levels inside and outside the tractor cab. The tractor with the most power in the engine has better sound insulation compared to those lowest power. The noise levels that operators are exposed to in the cab were lower than the limits established by Brazilian government laws. On the other hand, outside the cab, the noise levels emitted by the tractor of greater power are not safe for the workers' health if they are at a distance radius from the noise source of less than 7 m, requiring the use of an ear protector.

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“…A decision-making structure was constructed to analyze the ambient noise and the noise from each side obtained at the two tractor test sites, according to Souza et al (2022).…”

Section: Methodsmentioning

confidence: 99%