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Rodrigues,Tatiana P. N. da S.; Pandorfi,Héliton; Guiselini,Cristiane; Almeida,Gledson L. P. de; Morrill,Waldirene B. B.. |
ABSTRACT The objective of this research was to analyze the differences between the food behaviors observed under the factors of production environment, sex and lighting system, using stochastic tools of multivariate analysis. As for the thermal characteristics of the environment, air temperature (T, °C), enthalpy (H, kJ kg-1), and black globe temperature and humidity index (BGTHI) showed high positive correlation with each other and strong negative correlation with relative humidity (RH, %). The “male drinking” behavior was positively associated with thermal characteristics of the environment in the three periods of the day, that is, the act of drinking more water would be a way to alleviate thermal stress. Birds subjected to red LED showed a strong... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Animal welfare; Broiler farming; Lighting system; Principal component analysis; Thermal comfort. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000300272 |
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Rodrigues,Tatiana P. N. da S.; Pandorfi,Héliton; Stosic,Borko; Lucena,Aline C. de; Rodrigues,Diogo F. B.. |
ABSTRACT The objective of this study was to develop a software based on image processing and computer vision techniques for monitoring the feeding/collective behavior of broilers (Cobb) and validate it based on the results obtained from the visual analysis of an expert. The visual analysis was performed based on the observation and quantification of behaviors in the interval of 10 min at each hour of the day, in the period of 24 hours, totaling 1728 frames/day, for males and females. The software was developed using the Hoshen-Kopelman algorithm, for labeling clusters, which would basically be the grouping of similar pixels. This software is written in the 1999 standard of the C language. After this stage of programming, the Hoshen-Kopelman algorithm... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Broiler farming; Image processing; Lighting system; Computer vision. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600657 |
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