首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.
Instituto Federal GoianoRio VerdeBra zilSouth AmericaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
