首页|Findings from University of Laval Provides New Data on Machine@@Learning (Predict ing Subacute Ruminal Acidosis From Milk Midinfrared@@Estimated Fatty Acids and M achine Learning On Canadian@@Commercial Dairy Herds)
Findings from University of Laval Provides New Data on Machine@@Learning (Predict ing Subacute Ruminal Acidosis From Milk Midinfrared@@Estimated Fatty Acids and M achine Learning On Canadian@@Commercial Dairy Herds)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Quebec City, Cana da, by NewsRx correspondents, research stated, “Our objective wasto validate th e possibility of detecting SARA from milk Fourier transform mid-infrared spectro scopyestimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition inmodern commercial dairy herds for which diagnosis rema ins challenging due to its symptoms often beingsubtle, nonexclusive, and not im mediately apparent.”
Quebec CityCanadaNorth and Central A mericaCyborgsEmerging TechnologiesMachine LearningUniversity of Laval