数字农科院2.0

PDC-YOLO: A Network for Pig Detection under Complex Conditions for Counting Purposes

文献类型： 外文期刊

作者： He, Peitong;Zhao, Sijian;Pan, Pan;Zhou, Guomin;Zhang, Jianhua

作者机构：

关键词： pig detection;pig counting;YOLOv7;SPD-Conv;AFPN;rotated bounding box

期刊名称： AGRICULTURE-BASEL

ISSN：

年卷期： 2024 年 14 卷 10 期

页码：

收录情况： SCIE（2024版）

摘要： Pigs play vital roles in the food supply, economic development, agricultural recycling, bioenergy, and social culture. Pork serves as a primary meat source and holds extensive applications in various dietary cultures, making pigs indispensable to human dietary structures. Manual pig counting, a crucial aspect of pig farming, suffers from high costs and time-consuming processes. In this paper, we propose the PDC-YOLO network to address these challenges, dedicated to detecting pigs in complex farming environments for counting purposes. Built upon YOLOv7, our model incorporates the SPD-Conv structure into the YOLOv7 backbone to enhance detection under varying lighting conditions and for small-scale pigs. Additionally, we replace the neck of YOLOv7 with AFPN to efficiently fuse features of different scales. Furthermore, the model utilizes rotated bounding boxes for improved accuracy. Achieving a mAP of 91.97%, precision of 95.11%, and recall of 89.94% on our collected pig dataset, our model outperforms others. Regarding technical performance, PDC-YOLO exhibits an error rate of 0.002 and surpasses manual counting significantly in speed.

分类号：

  • 相关文献

[1]YOLOC-tiny: a generalized lightweight real-time detection model for multiripeness fruits of large non-green-ripe citrus in unstructured environments. Zuoliang Tang,Lijia Xu,Haoyang Li,Mingyou Chen,Xiaoshi Shi,Long Zhou,Yuchao Wang,Zhijun Wu,Yongpeng Zhao,Kun Ruan,Yong He,Wei Ma,Ning Yang,Lufeng Luo,Yunqiao Qiu. 2024

[2]ESG-YOLO: A Method for Detecting Male Tassels and Assessing Density of Maize in the Field. Wu, Wendi,Zhang, Jianhua,Zhou, Guomin,Zhang, Yuhang,Wang, Jian,Hu, Lin. 2024

[3]Dynamic real-time detection for corn kernel breakage rate based on deep learning and sliding window technology. Qihuan Wang,Qinghao He,Dong Yue,Duanxin Li,Jianning Yin,Pengxuan Guan,Yancheng Sun,Duanyang Geng,Zhenwei Wang. 2025

作者其他论文 更多>>