首页|Findings in the Area of Machine Learning Reported from University of Sao Paulo ( Predictive Models for Heat Stress Assessment In Holstein Dairy Heifers Using Inf rared Thermography and Machine Learning)
Findings in the Area of Machine Learning Reported from University of Sao Paulo ( Predictive Models for Heat Stress Assessment In Holstein Dairy Heifers Using Inf rared Thermography and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published.According to news reporting originating in Pirassununga , Brazil, by NewsRx journalists, research stated, “Heat stress is a condition th at impairs the animal’s productive and reproductive performance, and can be moni tored by physiological and environmental variables, including body surface tempe rature, through infrared thermography.The objective of this work is to develop computational models for classification of heat stress from respiratory rate var iable in dairy cattle using infrared thermography.”Financial support for this research came from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES).
PirassunungaBrazilSouth AmericaCyb orgsEmerging TechnologiesMachine LearningUniversity of Sao Paulo
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