首页|Study Results from Federal Rural University of Pernambuco in the Area of Machine Learning Published (Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment)
Study Results from Federal Rural University of Pernambuco in the Area of Machine Learning Published (Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting from Recife, Brazil, by NewsR x journalists, research stated, “Heat stress stands out as one of the main eleme nts linked to concerns related to animal thermal comfort.” Our news reporters obtained a quote from the research from Federal Rural Univers ity of Pernambuco: “This research aims to develop a sequential methodology for t he extraction of automatic characteristics from thermal images and the classific ation of heat stress in pigs by means of machine learning. Infrared images were obtained from 18 pigs housed in air-conditioned and non-air-conditioned pens. Th e image analysis consisted of its pre-processing, followed by color segmentation to isolate the region of interest and later the extraction of the animal’s surf ace temperatures, from a developed algorithm and later the recognition of the co mfort pattern through machine learning.”
Federal Rural University of PernambucoRecifeBrazilSouth AmericaCyborgsEmerging TechnologiesMachine Learning
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