Class
Article
Graduation Year
2018
College
College of Agriculture and Applied Sciences
Department
Animal, Dairy, and Veterinary Sciences Department
Faculty Mentor
Dr. Allen Young
Presentation Type
Poster Presentation
Abstract
LELY is one of the major companies in the world that manufactures robotic dairy milkers. While Lely is a worldwide company based in Holland, It entered the United States market only within the past few years. Dairy robotics is a new field that has great potential for innovation, but it still has relatively unknown effects on dairy farms, dairy production, and dairy farmers. During the summer of 2016, the research conducted centered on a data output analysis of the LELY Astronaut computer program. Data reports from the robotic milkers were collected and analyzed, and the information was examined to determine which and how data was useful and important, or redundant and irrelevant. The information was then used to determine how users could employ robotic milkers to improve dairy management. To conclude the research, conclusions were summarized into an Extension publication that can help other farmers and USU Extension agents understand the technology and better utilize the information being gathered. Opportunities for further study include data application analysis leading toward new best practices.
Location
South Atrium
Start Date
4-13-2017 1:30 PM
End Date
4-13-2017 2:45 PM
The Age of Robotic Milk: Data Output Analysis of LELY Astronaut Computer Program
South Atrium
LELY is one of the major companies in the world that manufactures robotic dairy milkers. While Lely is a worldwide company based in Holland, It entered the United States market only within the past few years. Dairy robotics is a new field that has great potential for innovation, but it still has relatively unknown effects on dairy farms, dairy production, and dairy farmers. During the summer of 2016, the research conducted centered on a data output analysis of the LELY Astronaut computer program. Data reports from the robotic milkers were collected and analyzed, and the information was examined to determine which and how data was useful and important, or redundant and irrelevant. The information was then used to determine how users could employ robotic milkers to improve dairy management. To conclude the research, conclusions were summarized into an Extension publication that can help other farmers and USU Extension agents understand the technology and better utilize the information being gathered. Opportunities for further study include data application analysis leading toward new best practices.