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Eric R에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Eric R 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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The Cutting Edge - Article 30 - Developing Technologies in Calf Management

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Manage episode 268844207 series 2681084
Eric R에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Eric R 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Symposium Review: Precision Technologies for Dairy Calves and Management Applications

Big 3 Infographic at otovets.com/cuttingedge

Link: https://www.journalofdairyscience.org/article/S0022-0302(20)30554-3/fulltext

Big Take Away #1 The authors concluded that disease affects activity in calves, but the differences in greater or lesser activity are more likely attributed to how the calf responds to illness.

Many studies have mapped increases in lying bouts and/or times with accelerometers in calves, but these signs appear variable between different disease processes such as diarrhea, respiratory or navel diseases.

Big Take Away #2: The authors noted that milk flow and meal size at an autofeeder can play a large role on feeding behavior for calves.

Altering these parameters can change social-group behaviors in calves, total milk intakes and potentially impact other hunger-based behaviors in calves.

Big Take Away #3: The authors also proposed using “optical flow” patterns to detect changes in social dynamics in calf groups prior to diseases outbreaks.

Similar technologies using real-time localization systems could be used to detect social isolation of a sick herd member OR monitor herd behavior for ventilation, cooling, sunlight or other responses to environmental factors.

Symposium Review: Precision Technologies for Dairy Calves and Management Applications

Published by J. Costa, M Cantor, H Neave

Location: University of Kentucky Dairy Science and AgResearch Ltd Hamilton New Zealand

Objective: The objective of this study was to critically review literature on the use of precision dairy technology devices with a focus on accelerometers, automated feeding systems and systems measuring physiological or physical attributes.

  continue reading

109 에피소드

Artwork
icon공유
 
Manage episode 268844207 series 2681084
Eric R에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Eric R 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Symposium Review: Precision Technologies for Dairy Calves and Management Applications

Big 3 Infographic at otovets.com/cuttingedge

Link: https://www.journalofdairyscience.org/article/S0022-0302(20)30554-3/fulltext

Big Take Away #1 The authors concluded that disease affects activity in calves, but the differences in greater or lesser activity are more likely attributed to how the calf responds to illness.

Many studies have mapped increases in lying bouts and/or times with accelerometers in calves, but these signs appear variable between different disease processes such as diarrhea, respiratory or navel diseases.

Big Take Away #2: The authors noted that milk flow and meal size at an autofeeder can play a large role on feeding behavior for calves.

Altering these parameters can change social-group behaviors in calves, total milk intakes and potentially impact other hunger-based behaviors in calves.

Big Take Away #3: The authors also proposed using “optical flow” patterns to detect changes in social dynamics in calf groups prior to diseases outbreaks.

Similar technologies using real-time localization systems could be used to detect social isolation of a sick herd member OR monitor herd behavior for ventilation, cooling, sunlight or other responses to environmental factors.

Symposium Review: Precision Technologies for Dairy Calves and Management Applications

Published by J. Costa, M Cantor, H Neave

Location: University of Kentucky Dairy Science and AgResearch Ltd Hamilton New Zealand

Objective: The objective of this study was to critically review literature on the use of precision dairy technology devices with a focus on accelerometers, automated feeding systems and systems measuring physiological or physical attributes.

  continue reading

109 에피소드

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