NEURO-FUZZY MODELING OF EYEBALL AND CREST TEMPERATURES IN EGG-LAYING HENS
ABSTRACT Considering the challenges faced by poultry farming, this study aimed to develop a neuro-fuzzy model to predict eyeball and crest temperatures of egg-laying hens based on environmental conditions (dry bulb temperature and relative humidity). To develop the models and simulations, Matlab’s F...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Sociedade Brasileira de Engenharia Agrícola
2021-03-01
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Series: | Engenharia Agrícola |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162021000100034&tlng=en |