数字农科院2.0

Recognition of Foal Nursing Behavior Based on an Improved RT-DETR Model

文献类型： 外文期刊

作者： Yanhong Liu;Fang Zhou;Wenxin Zheng;Tao Bai;Xinwen Chen;Leifeng Guo

作者机构：

关键词： artificial intelligence;behavior recognition;feeding;foal suckling

期刊名称： Animals

ISSN： 2076-2615

年卷期： 2025 年 15 卷 3 期

页码：

收录情况： SCIE（2025版）

摘要： Foal nursing behavior is a crucial indicator of healthy growth. The mare being in a standing posture and the foal being in a suckling posture are important markers for foal suckling behavior. To enable the recognition of a mare’s standing posture and its foal’s suckling posture in stalls, this paper proposes an RT-DETR-Foalnursing model based on RT-DETR. The model employs SACGNet as the backbone to enhance the efficiency of image feature extraction. Furthermore, by incorporating a multiscale multihead attention module and a channel attention module into the Adaptive Instance Feature Integration (AIFI), the model strengthens feature utilization and integration capabilities, thereby improving recognition accuracy. Experimental results demonstrate that the improved RT-DETR achieves a best mAP@50 of 98.5%, increasing by 1.8% compared to the RT-DETR. Additionally, this study achieves real-time statistical analysis of the duration of the foal in the suckling posture, which is one of the important indicators for determining whether the foal is suckling. This has significant implications for the healthy growth of foals.

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