首页|Research from Sao Paulo State University (UNESP) in Machine Learning Provides Ne w Insights (Using Thermal Signature to Evaluate Heat Stress Levels in Laying Hen s with a Machine-Learning-Based Classifier)
Research from Sao Paulo State University (UNESP) in Machine Learning Provides Ne w Insights (Using Thermal Signature to Evaluate Heat Stress Levels in Laying Hen s with a Machine-Learning-Based Classifier)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting originating from Sao Paulo S tate University (UNESP) by NewsRx correspondents, researchstated, “Infrared the rmography has been investigated in recent studies to monitor body surface temperature and correlate it with animal welfare and performance factors. In this cont ext, this study proposesthe use of the thermal signature method as a feature ex tractor from the temperature matrix obtainedfrom regions of the body surface of laying hens (face, eye, wattle, comb, leg, and foot) to enable theconstruction of a computational model for heat stress level classification.”
Sao Paulo State University (UNESP)Cybo rgsEmerging TechnologiesMachine Learning
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