摘要详情

ID / 提交时间

60 / 2025-04-14 22:50:50

标题

Research on the Method for Assessing Welfare Risks of Laying Hens Based on the Coupling of Environmental Factors and Behavioral Responses

关键字

poultry, behaviour detection, computer vision, deep learning, Yolo.

主题及专题

3. 智慧牧场与动物福利 > （1）智慧养殖的利惠：提高动物福利与健康、环境、经济效益与劳动力

状态

摘要待审

作者

Zixuan Zhou / Hebei Agricultural University

摘要

Abstract: Aiming at the precise assessment of welfare risks in laying hen houses, this study proposes a method for evaluating laying hen welfare risks based on multimodal fusion. Taking the open-beak behavior of chickens as the detection target, an improved Yolov8-BCE model is constructed. The BiFormer module is used to enhance the perception ability of the backbone network for shallow features such as color and texture. The C3Ghost module is adopted to compress the number of parameters in the neck part, and the combination of EIOU loss and focal loss is used to improve the detection performance. Based on the feature-level multimodal fusion strategy, a collaborative quantitative welfare risk assessment model of the temperature-humidity index (THI) and behavioral response features is constructed, and a four-level assessment system of normal, low, moderate, and severe risks is established. Experiments show that the improved Yolov8-BCE model has an improvement of more than 10 percentage points in core indicators such as the mean average precision (93.7%), precision (86.4%), recall (85.2%), and F1 score (85.8%). It still maintains stable detection performance under complex working conditions such as low contrast and interference from occluder noise. The assessment of welfare risks in two typical laying hen houses shows that the WRI model successfully identifies microenvironment risk areas that cannot be detected by the single environmental factor assessment method, providing key technical support for the establishment of an intelligent monitoring system for the healthy breeding of livestock and poultry based on multi-source information fusion.

重要日期

会议日期

10月20日

2025

至

10月23日

2025
04月15日 2025

摘要截稿日期
05月01日 2025

摘要录用通知日期
06月30日 2025

初稿截稿日期
08月01日 2025

终稿截稿日期
08月31日 2025

初稿录用通知日期
10月23日 2025

注册截止日期

主办单位

International Research Center for Animal Environment and Welfare (IRCAEW)
Chinese Society of Agricultural Engineering (CSAE)
China Agricultural University (CAU)
Rongchang District People’s Government
The National Center of Technology Innovation for Pigs

承办单位

Chongqing Academy of Animal Sciences (CAAS)
Key Lab of Agricultural Engineering in Structure and Environment, Chinese Ministry of Agriculture, Beijing, China