ArticleFrontiers in veterinary science2022
Identification of body size characteristic points based on the Mask R-CNN and correlation with body weight in Ujumqin sheep.
Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Evaluation of hybrid models based on image segmentation and inference for pig weight estimation.Frontiers in artificial intelligence · 2026Article
- Supplementation with Polyphenols (Olive and Grape Extracts) Improves Pregnancy Outcomes in Underfed Sheep.Antioxidants (Basel, Switzerland) · 2025Article
- Identification of a novel InDel locus within theArchives animal breeding · 2025Article
- Simultaneous, Non-Contact and Motion-Based Monitoring of Respiratory Rate in Sheep Under Experimental Condition Using Visible and Near-Infrared Videos.Animals : an open access journal from MDPI · 2024Article
- Machine Vision Analysis of Ujumqin Sheep's Walking Posture and Body Size.Animals : an open access journal from MDPI · 2024Article
- Weighted gene co-expression network analysis reveals genes related to growth performance in Hu sheep.Scientific reports · 2024Article
- Effects of nonsynonymous single nucleotide polymorphisms of theFrontiers in veterinary science · 2024Article
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15 authors.
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Abstract
The measurements of body size data not only reflect the physical fitness, carcass structure, excellent growth condition, and developmental relationship among tissues and organs of animals but are also critical indicators to measure the growth and development of sheep. Computer vision-based body size identification is a non-contact and stress-free method. In this study, we analyzed different body size traits (height at wither, body slanting length, chest depth, chest circumference, shank circumference, hip height, shoulder width, and rump width) and the body weight of 332 Ujumqin sheep and significant correlations (
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