Proceedings
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| Filter results2 paper(s) found. |
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1. Deep Learning-Based Vocal Signature Analysis for Rumination Belching IdentificationAnimal vocalizations provide important information about various behaviors, including courtship, parental care, foraging, and vigilance, as well as physiological states such as estrus, parturition, stress, and disease. In ruminants, eructation-related sounds are primarily produced when methane, generated by microbial fermentation of plant fibers in the rumen, is released orally. The acoustic characteristics of these sounds—such as frequency, intensity, and duration—are closely associated... C. Wu |
2. Development of Methane Monitoring System for Dairy Cow EructationMethane emissions from dairy cow eructation constituted a significant greenhouse gas source in livestock production and were closely linked to rumination activity. Accurate, continuous, and non-invasive monitoring of eructation events was proven essential for assessing animal health, optimizing feed strategies, and reducing environmental impact. Conventional approaches— including manual observation, jaw-movement sensors, and respiration chambers—remained costly, labor-intensive, and... C. Wu |