Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables

Predictive model based on artificial neural network for assessing beef cattle thermal stress... •An artificial neural network was used for developing a model to predict the rectal temperature of cattle.•The heat stress of cattle was assessed using infrared thermography and soft computing.•The level of heat stress in feedlots can be assessed individually and non-invasively. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Computers and Electronics in Agriculture Elsevier

Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0168-1699
eISSN
1872-7107
D.O.I.
10.1016/j.compag.2017.11.033
Publisher site
See Article on Publisher Site

Abstract

•An artificial neural network was used for developing a model to predict the rectal temperature of cattle.•The heat stress of cattle was assessed using infrared thermography and soft computing.•The level of heat stress in feedlots can be assessed individually and non-invasively.

Journal

Computers and Electronics in AgricultureElsevier

Published: Jan 1, 2018

References

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