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About

Eden Tongson is a pioneering researcher at the intersection of artificial intelligence, computer vision, and precision livestock farming, with a particular focus on dairy cattle management and welfare. Their work addresses one of agriculture's most pressing challenges: leveraging cutting-edge technology to monitor and improve animal health, productivity, and traceability in an era of accelerating climate change. Tongson's most influential contribution, cited 82 times, demonstrated that AI models trained on environmental and cow-specific data could accurately predict milk quality and productivity — a breakthrough with direct implications for climate-adaptive farming. Building on this foundation, their subsequent research pioneered non-invasive biometric monitoring techniques using thermal infrared and video cameras to measure physiological indicators such as heart rate and respiration rate, offering a humane and efficient alternative to traditional veterinary assessments. Their deep learning-based face recognition system for individual livestock identification further advances traceability and welfare standards across the industry. With nearly 170 citations across five key publications, Tongson has established themselves as a leading voice in smart agriculture. Their editorial leadership on AI and sensor integration for environmental hazard assessment underscores their broad influence across urban, agricultural, and forestry systems, making their work essential reading for researchers and students in agricultural technology and animal science.