Dequan Guo

You are already at the latest version Non-contact behavioral monitoring is essential for the low-disturbance husbandry of captive forest musk deer, yet environmental factors such as variable illumination, shadows, and occlusion often hinder automatic recognition accuracy. To address these challenges, this study develops and evaluates a lightweight real-time detector, called HGS-YOLO26n, for behavior recording under practical captive breeding conditions.

You are already at the latest version The expansion of captive breeding of the forest musk deer (Moschus berezovskii)—a first-class protected species in China with significant economic and medicinal value—has led to escalating disease threats, underscoring the need for intelligent disease management based on knowledge graphs.

4.4.2. Model Validation Based on the analysis and screening in the previous section, the FRRNet101 (Faster-RCNN-Resnet-101) model has outstanding performance in terms of detection accuracy and detection efficiency and has the advantages of a relatively moderate model size. Therefore, in this section, a reliable and efficient oil leakage detection model for substation equipment is proposed based on the improvement in the FRRNet101 model structure, which is named the FRRNet101-c model.