Non‐contact detection method of pregnant sows backfat thickness based on two‐dimensional images-Reference-Cited by-同舟云学术

Non‐contact detection method of pregnant sows backfat thickness based on two‐dimensional images

Published:2022-08-21 Issue:6 Volume:53 Page:769-781
ISSN:0268-9146
Container-title:Animal Genetics
language:en
Short-container-title:Animal Genetics

Author:

Yu Mengyuan¹²^ORCID,Zheng Hongya¹²,Xu Dihong¹²,Shuai Yonghui¹²,Tian Shanfeng¹²,Cao Tingjin¹²,Zhou Mingyan¹²,Zhu Yuhua²³,Zhao Shuhong⁴,Li Xuan¹²³

Affiliation:

1. Key Laboratory of Smart Farming for Agricultural Animals Huazhong Agricultural University Wuhan Hubei China

2. Shenzhen Institute of Nutrition and Health Huazhong Agricultural University Wuhan Hubei China

3. Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China

4. College of Animal Science and Technology Huazhong Agricultural University Wuhan Hubei China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Genetics,Animal Science and Zoology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/age.13248

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1. Research on Contactless Detection of Sow Backfat Thickness Based on Segmented Images with Feature Visualization;Applied Sciences;2024-01-16

2. Non-Contact Measurement of Pregnant Sows’ Backfat Thickness Based on a Hybrid CNN-ViT Model;Agriculture;2023-07-14