Hai Ho Dac

Papers

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About

Hai Ho Dac is a leading researcher at the intersection of computer vision and precision livestock farming. His work focuses on developing non-invasive, deep-learning-based systems for animal biometric assessment, welfare monitoring, and agricultural traceability. Dac’s major contributions include pioneering the use of advanced convolutional neural networks for individual livestock identification, demonstrating that facial recognition technology can accurately identify dairy cows from digital images. His 2022 study on this topic has garnered 30 citations, underscoring its significance in the field. Expanding on this, Dac’s highly cited work on automated veterinary support systems (22 citations) proved that biometrics extracted from visible video footage—such as body condition and gait—are reliable predictors of dairy cow age and welfare. This research lays the groundwork for fully automated, non-invasive health monitoring in robotic dairies, reducing the need for human intervention and stress on animals. By bridging machine learning with animal science, Hai Ho Dac is shaping the future of sustainable, data-driven agriculture and smart farming technologies.