10 citations · 10 across the 4 of their papers we have counts for
4 papers
Can 3D point cloud data improve automated body condition score prediction in dairy cattle?
Zhou Tang, Jin Wang, Angelo De Castro +7
Body condition score (BCS) is a widely used indicator of body energy status and is closely associated with metabolic status, reproductive performance, and health in dairy cattle; h…
Evaluating transfer learning strategies for improving dairy cattle body weight prediction in small farms using depth-image and point-cloud data
Jin Wang, Angelo De Castro, Yuxi Zhang +7
Computer vision provides automated, non-invasive, and scalable tools for monitoring dairy cattle, thereby supporting management, health assessment, and phenotypic data collection.…
Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision
Jin Wang, Yu Hu, Lirong Xiang +5
Computer vision (CV), a non-intrusive and cost-effective technology, has furthered the development of precision livestock farming by enabling optimized decision-making through time…
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
Ye Bi, Leticia M. Campos, Jin Wang +3
Monitoring cow body weight is crucial to support farm management decisions due to its direct relationship with the growth, nutritional status, and health of dairy cows. Cow body we…