首页|Research in the Area of Machine Learning Reported from University of Calgary (Pr edicting main behaviors of beef bulls from accelerometer data: A machine learnin g framework)

Research in the Area of Machine Learning Reported from University of Calgary (Pr edicting main behaviors of beef bulls from accelerometer data: A machine learnin g framework)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Calgary, C anada, by NewsRx correspondents, research stated, “Traditional methods tomonito r free-range cattle, such as breeding beef bulls, are time-consuming. However, m ost currentremote monitoring technologies operate at high sampling rates, makin g their use on bulls impractical dueto their high battery consumption. Therefor e, this study aims to describe and evaluate a machine-learningframework to pred ict the behaviors of beef bulls from raw accelerometer data at low sampling rate s.”

University of CalgaryCalgaryCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.25)