Robotics & Machine Learning Daily News2024,Issue(Jun.7) :44-45.

Findings from Instituto Federal Goiano Broaden Understanding of Machine Learning (Machine Learning to Predict Pregnancy in Dairy Cows: An Approach Integrating A utomated Activity Monitoring and On-Farm Data)

Instituto Federal Goiano的发现扩大了对机器学习的理解(机器学习预测奶牛怀孕:一种整合自动化活动监测和农场数据的方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :44-45.

Findings from Instituto Federal Goiano Broaden Understanding of Machine Learning (Machine Learning to Predict Pregnancy in Dairy Cows: An Approach Integrating A utomated Activity Monitoring and On-Farm Data)

Instituto Federal Goiano的发现扩大了对机器学习的理解(机器学习预测奶牛怀孕:一种整合自动化活动监测和农场数据的方法)

扫码查看

摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-在一份新的报告中讨论了人工智能的研究结果。根据NewsRx记者来自巴西里约热内卢佛得角的新闻报道,研究表明,“自动活性监测(AAM)系统在乳制品行业中对于检测E strus和优化人工授精时间(AI)至关重要,从而提高奶牛的妊娠成功率。”这项研究的资助者包括高级学校的Aperfeicoamento Coordenacao;国家科学技术发展委员会;联邦政府和Ceagre机构。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Rio Verde, Brazil, by NewsRx correspondents, research stated, “Automated acti vity monitoring (AAM) systems are critical in the dairy industry for detecting e strus and optimizing the timing of artificial insemination (AI), thus enhancing pregnancy success rates in cows.” Funders for this research include Coordenacao De Aperfeicoamento De Pessoal De N ivel Superior; Conselho Nacional De Desenvolvimento Cientifico E Tecnologico; In stituto Federal Goiano And Ceagre.

Key words

Instituto Federal Goiano/Rio Verde/Bra zil/South America/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文