Publications by authors named "Baoqin Wen"
Sheep aggression detection is crucial for maintaining the welfare of a large-scale sheep breeding environment. Currently, animal aggression is predominantly detected using image and video detection methods. However, there is a lack of lightweight network models available for detecting aggressive behavior among groups of sheep.
View Article and Find Full Text PDFSpatio-Temporal-Based Identification of Aggressive Behavior in Group Sheep.
Animals (Basel)
August 2023
In order to solve the problems of low efficiency and subjectivity of manual observation in the process of group-sheep-aggression detection, we propose a video streaming-based model for detecting aggressive behavior in group sheep. In the experiment, we collected videos of the sheep's daily routine and videos of the aggressive behavior of sheep in the sheep pen. Using the open-source software LabelImg, we labeled the data with bounding boxes.
View Article and Find Full Text PDFArticle Synopsis
- A study was conducted on a year-old Glycyrrhiza glabra stalk to analyze its mechanical properties using an electronic universal testing machine for shearing and bending tests.
- The research identified different phases in the shearing (elastic, yield, plastic deformation) and bending (elastic and plastic deformation) processes, noting that increasing diameter leads to higher shearing and bending forces and energies.
- Microscopic analysis revealed the stalk's structure, with phloem, fiber, and pith playing crucial roles, and found a significant correlation between the stalk's cross-sectional area and its mechanical properties, which could aid in the design of agricultural equipment.