Alternative form to obtain the black globe temperature from environmental variables
| dc.contributor.author | Zanetoni, H.H.R. | |
| dc.contributor.author | Tinôco, I.F.F. | |
| dc.contributor.author | Barbari, M. | |
| dc.contributor.author | Conti, L. | |
| dc.contributor.author | Rossi, G. | |
| dc.contributor.author | Baêta, F.C. | |
| dc.contributor.author | Vilela, M.O. | |
| dc.contributor.author | Teles Junior, C.G.S. | |
| dc.contributor.author | Andrade, R.R. | |
| dc.date.accessioned | 2019-05-13T18:41:48Z | |
| dc.date.available | 2019-05-13T18:41:48Z | |
| dc.date.issued | 2019 | |
| dc.description | Article | eng |
| dc.description.abstract | Reaching thermal comfort conditions of animals is essential to improve well-being and to obtain good productive performance. For that reason, farmers require tools to monitor the microclimatic situation inside the barn. Black Globe-Humidity Index (BGHI) acts as a producer management tool, assisting in the management of the thermal environment and in decision making how protect animals from heat stress. The objective of this work was to develop a mathematical model to estimate the black globe temperature starting from air temperature, relative humidity and air velocity. To reach this goal, data of air temperature and humidity were collected, with the aid of recording sensors. The black globe temperature was measured with a black copper globe thermometer and the air velocity was monitored with a hot wire anemometer. Data were analysed using a regression model to predict the black globe temperature as a function of the other variables monitored. The model was evaluated, based on the significance of the regression and the regression parameters, and the coefficient of determination (R²). The model proved to be adequate for the estimation of the black globe temperature with R2 = 0.9166 and the regression and its parameters being significant (p < 0.05). The percentage error of the model was low (approximately 2.2%). In conclusion, a high relation between the data estimated by the model with the data obtained by the standard black globe thermometer was demonstrated. | eng |
| dc.identifier.issn | 1406-894X | |
| dc.identifier.publication | Agronomy Research, 2019, vol. 17, no. 3, pp. 900–906 | eng |
| dc.identifier.uri | http://hdl.handle.net/10492/4790 | |
| dc.identifier.uri | https://doi.org/10.15159/ar.19.109 | |
| dc.rights.holder | Copyright 2009 by Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry. No part of this publication may be reproduced or transmitted in any form, or by any means, electronic or mechanical, incl. photocopying, electronic recording, or otherwise without the prior written permission from the Estonian University of Life Sciences, Latvia University of Agriculture, Aleksandras Stulginskis University, Lithuanian Research Centre for Agriculture and Forestry. | eng |
| dc.subject | thermal comfort | eng |
| dc.subject | black globe temperature | eng |
| dc.subject | Black Globe-Humidity Index | eng |
| dc.subject | animal housing | eng |
| dc.subject | articles | eng |
| dc.title | Alternative form to obtain the black globe temperature from environmental variables | eng |
| dc.type | Article | eng |
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