Jin Wang 汪瑾
2250 Shealy Dr,
Room 499-222,
Gainesville, FL 32608
I am a Ph.D. student from Dr. Haipeng Yu’s lab in the Department of Animal Sciences at the University of Florida.
My research interest focuses on using computer vision and machine learning to collect and incorporate high-throughput animal phenomics data to improve animal agriculture.
News
| Oct 22, 2024 | New preprint. Angelo L. De Castro, Jin Wang, Jessica G. Bonney-King, Gota Morota, Emily K. Miller-Cushon, Haipeng Yu. AnimalMotionViz: an interactive software tool for tracking and visualizing animal motion patterns using computer vision. bioRxiv doi: 10.1101/2024.10.22.619671 |
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| Mar 2, 2024 | New paper accepted🎉. M. B. Ugarte Marin, K. N. Gingerich, J. Wang, H. Yu, E. K. Miller-Cushon. Effects of space allowance on patterns of activity in group-housed dairy calves. JDS Communications . doi: 10.3168/jdsc.2023-0486 |
| Dec 4, 2023 | My first first author paper is accepted!🎉🎉🎉. Jin Wang, Yu Hu, Lirong Xiang, Gota Morota, Samantha A. Brooks, Carissa L. Wickens, Emily K. Miller-Cushon and Haipeng Yu. Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision. Journal of Animal Science . doi: 10.1093/jas/skad416 |
| Oct 13, 2023 | New paper accepted🎉. Ye Bi, Leticia M. Campos, Jin Wang, Haipeng Yu, Mark D. Hanigan, and Gota Morota. Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms. Smart Agricultural Technology . doi: 10.1016/j.atech.2023.100352 |
| Oct 13, 2023 | Oral Presentation. I presented my first oral presentation “Impact of cross-validation strategies on machine learning- and deep learning-based cattle behavior predictions using tri-axial accelerometer data” at the UF IFAS Animal Science Graduate Symposium. |