16AGRITECHCAT5: Early detection of tail biting in pigs using 3D video to measure tail posture
16AGRITECHCAT5:使用 3D 视频测量尾巴姿势来早期检测猪的咬尾行为
基本信息
- 批准号:BB/P004962/1
- 负责人:
- 金额:$ 25.9万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Tail biting in pigs is a serious and unpredictable animal welfare problem for farmers worldwide. It results in losses forfarmers of £10.4M a year in the UK alone, mainly from carcass condemnation. Before damaging tail biting begins, pigs holdtheir tails down. This project will develop a system to detect these tail posture changes using a 3D video system givingfarmers advance warning of tail biting in time to intervene. We will 1) Collect continuous 3D video from pigs at a high risk oftail biting to capture the changes in tail posture pre-tail biting, 2) Provide a detailed behaviour analysis of tail posturechanges and 3) Develop software algorithms to automate this. The project partners provide expertise in pig behaviour(SRUC), a route to market and algorithms for automated 3D video analysis (Innovent Technology Ltd), pork supply chainknowledge (Sainsbury's) video expertise and access to a network of expertise in engineering and precision agriculture(Agri-EPI centre).
猪咬尾对全世界的农民来说是一个严重和不可预测的动物福利问题。仅在英国,每年就给农民造成1040万英镑的损失,主要来自屠宰场的没收。在开始咬尾巴之前,猪会把尾巴压低。该项目将开发一个系统,使用3D视频系统检测这些尾巴姿势的变化,使农民提前警告咬尾巴及时干预。我们将1)从高咬尾风险的猪身上收集连续的3D视频,以捕捉咬尾前尾部姿势的变化,2)提供尾部姿势变化的详细行为分析,3)开发软件算法来自动化。项目合作伙伴提供猪行为方面的专业知识(SRUC),自动化3D视频分析的市场路线和算法(Innovent Technology Ltd),猪肉供应链知识(Sainsbury's)视频专业知识以及工程和精准农业专业知识网络(Agri-EPI中心)。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Changes in tail posture detected by a 3D machine vision system are associated with injury from damaging behaviours and ill health on commercial pig farms.
- DOI:10.1371/journal.pone.0258895
- 发表时间:2021
- 期刊:
- 影响因子:3.7
- 作者:D'Eath RB;Foister S;Jack M;Bowers N;Zhu Q;Barclay D;Baxter EM
- 通讯作者:Baxter EM
Early indicators of tail biting outbreaks in pigs
猪咬尾疫情的早期迹象
- DOI:10.1016/j.applanim.2018.08.008
- 发表时间:2018
- 期刊:
- 影响因子:2.3
- 作者:Wedin M
- 通讯作者:Wedin M
Automatic early warning of tail biting in pigs: 3D cameras can detect lowered tail posture before an outbreak.
- DOI:10.1371/journal.pone.0194524
- 发表时间:2018
- 期刊:
- 影响因子:3.7
- 作者:D'Eath RB;Jack M;Futro A;Talbot D;Zhu Q;Barclay D;Baxter EM
- 通讯作者:Baxter EM
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Rick D'Eath其他文献
Rick D'Eath的其他文献
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{{ truncateString('Rick D'Eath', 18)}}的其他基金
Pig ID: developing a deep learning machine vision system to track pigs using individual biometrics
Pig ID:开发深度学习机器视觉系统,利用个体生物识别技术跟踪猪
- 批准号:
BB/X001830/1 - 财政年份:2023
- 资助金额:
$ 25.9万 - 项目类别:
Research Grant
Investigating how the type and quantity of food affect foraging behaviour and the neural circuits controlling feeding in broiler breeder chickens
研究食物的类型和数量如何影响肉种鸡的觅食行为以及控制摄食的神经回路
- 批准号:
BB/L000288/1 - 财政年份:2013
- 资助金额:
$ 25.9万 - 项目类别:
Research Grant
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