13TSB_AgriFood: Precision Cow Health Management

13TSB_AgriFood：精准奶牛健康管理

• 批准号: BB/L017407/1
• 负责人: Melvyn Smith
• 金额: $ 26.68万
• 依托单位: University of the West of England
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=BB%2FL017407%2F1
• 关键词: 13TSB_AgriFood; Precision; Cow; Health; Management

This project seeks to develop innovative moving 3D imaging technology to enhance measurement of cow body condition score (BCS), live weight and mobility (gait) as a highly advanced management decision-making tool to improve the pace at which these key quality and production traits are identified for animal welfare, sustainability and profitability. The technology will simultaneously and unobtrusively provide stress-free monitoring of incremental changes in individual cow condition and lameness to inform and improve nutrition management, cow health, welfare and productivity leading to increased herd lifespan and more efficient milk production. These traits are currently measured by manual visual assessment requiring high skill levels and training, and so are open to the subjectivity of individuals. Our novel imaging technology will enable much more precise, reliable and frequent measurement, creating greater opportunities to improve cow performance and welfare. Individual cow data will be stored within a central web database to enable benchmarking and on-line dissemination of analysed data back to the farmers and others in the value chain.

该项目旨在开发创新的3D成像技术，以增强对牛体状况评分（BCS），活体重和移动性（步态）的衡量，作为一种高级管理的管理决策工具，以提高这些关键质量和生产特征可确定动物福利，可持续性，可持续性，可持续性和盈利能力的步伐。该技术将同时且不出色地提供对单个母牛状况和la行变化的无压力监测，以告知和改善营养管理，牛健康，福利和生产力，从而增加了牛群的寿命和更有效的牛奶生产。这些特征目前是通过需要高技能水平和培训的手动视觉评估来衡量的，因此对个人的主观性开放。我们的新型成像技术将使更精确，可靠和频繁的测量能够改善牛表现和福利。单个牛数据将存储在中央网络数据库中，以实现对分析数据的基准测试和在线传播，并将分析的数据回到价值链中的农民和其他数据。

项目成果

Locomotion Traits of Dairy Cows from Overhead Three-Dimensional Video

从头顶三维视频观察奶牛的运动特征

• 发表时间: 2016
• 作者: K. Abdul Jabbar

Quadruped locomotion analysis using three-dimensional video

使用三维视频进行四足动物运动分析

• DOI: 10.1109/icsae.2016.7810224
• 发表时间: 2016
• 作者: Abdul Jabbar K

Towards on-farm pig face recognition using convolutional neural networks

• DOI: 10.1016/j.compind.2018.02.016
• 发表时间: 2018-06-01
• 期刊: COMPUTERS IN INDUSTRY
• 影响因子: 10
• 作者: Hansen, Mark E.;Smith, Melvyn L.;Grieve, Bruce
• 通讯作者: Grieve, Bruce

Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device.

• DOI: 10.1016/j.compind.2018.02.011
• 发表时间: 2018-06
• 期刊: Computers in industry
• 影响因子: 10
• 作者: Hansen MF;Smith ML;Smith LN;Abdul Jabbar K;Forbes D
• 通讯作者: Forbes D

Special issue on: Machine vision for outdoor environments

特刊：户外环境机器视觉

• DOI: 10.1016/j.compind.2018.04.016
• 发表时间: 2018
• 期刊: Computers in Industry
• 影响因子: 10
• 作者: Smith M