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Dr Brad White, Precision Animal Solutions - Early Detection of Disease in Cattle with IoT

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Manage episode 447568554 series 3554458
内容由Digitel Talk提供。所有播客内容(包括剧集、图形和播客描述)均由 Digitel Talk 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In episode 33, Ian and Frankie talk with Dr. Brad White, from Precision Animal Solutions to discuss their project with Eseye to create an IoT device to monitor cattle behaviour and identify early signs of respiratory disease.
The solution involves using ear tags with embedded electronics to collect data on activity, social behaviour, and areas of interest. The data is then analysed using machine learning algorithms to identify sick cattle. The technology aims to improve cattle health, welfare, and resource conservation in the beef production industry. The solution has the potential to benefit producers, consumers, distributors, and the overall value chain. The accuracy of the system in identifying sick cattle is a key focus, with the goal of achieving 85-95% accuracy. The project is still in the testing phase and is expected to be commercially available in 2025.
Dr. Brad White is a veterinarian focused on beef cattle health. He is co-founder and works with his partners in Precision Animal Solutions on the Remote Early Disease Identification (REDI) system for cattle. He also is currently a professor at the Kansas State University College of Veterinary Medicine.
Links
Why Precision Animal Solutions chose Eseye

Want to be a guest on the show or sponsor a podcast? For all enquires contact getintouch@digiteltalk.com.
If you liked this episode, please subscribe wherever you get your podcasts and leave us a 5* review and rating, it really helps our channel.
You can find us on LinkedIn @digitel-talk or on our website www.digiteltalk.com.
Podcast Credits

  • Host: Ian Ginn (https://www.linkedin.com/in/ian-ginn/)
  • Co-host: Frankie Spagnolo (https://www.linkedin.com/in/frankie-spagnolo-8534482a/)
  • Editor: Rebecca Ginn (https://www.linkedin.com/in/rebecca-ginn-86218414a/)
  continue reading

34集单集

Artwork
icon分享
 
Manage episode 447568554 series 3554458
内容由Digitel Talk提供。所有播客内容(包括剧集、图形和播客描述)均由 Digitel Talk 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In episode 33, Ian and Frankie talk with Dr. Brad White, from Precision Animal Solutions to discuss their project with Eseye to create an IoT device to monitor cattle behaviour and identify early signs of respiratory disease.
The solution involves using ear tags with embedded electronics to collect data on activity, social behaviour, and areas of interest. The data is then analysed using machine learning algorithms to identify sick cattle. The technology aims to improve cattle health, welfare, and resource conservation in the beef production industry. The solution has the potential to benefit producers, consumers, distributors, and the overall value chain. The accuracy of the system in identifying sick cattle is a key focus, with the goal of achieving 85-95% accuracy. The project is still in the testing phase and is expected to be commercially available in 2025.
Dr. Brad White is a veterinarian focused on beef cattle health. He is co-founder and works with his partners in Precision Animal Solutions on the Remote Early Disease Identification (REDI) system for cattle. He also is currently a professor at the Kansas State University College of Veterinary Medicine.
Links
Why Precision Animal Solutions chose Eseye

Want to be a guest on the show or sponsor a podcast? For all enquires contact getintouch@digiteltalk.com.
If you liked this episode, please subscribe wherever you get your podcasts and leave us a 5* review and rating, it really helps our channel.
You can find us on LinkedIn @digitel-talk or on our website www.digiteltalk.com.
Podcast Credits

  • Host: Ian Ginn (https://www.linkedin.com/in/ian-ginn/)
  • Co-host: Frankie Spagnolo (https://www.linkedin.com/in/frankie-spagnolo-8534482a/)
  • Editor: Rebecca Ginn (https://www.linkedin.com/in/rebecca-ginn-86218414a/)
  continue reading

34集单集

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