首页|University of New South Wales Researcher Has Published New Study Findings on Mac hine Learning (Developing a Prototype Device for Assessing Meat Quality Using Au tofluorescence Imaging and Machine Learning Techniques)
University of New South Wales Researcher Has Published New Study Findings on Mac hine Learning (Developing a Prototype Device for Assessing Meat Quality Using Au tofluorescence Imaging and Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Investigators publish new report on ar tificial intelligence. According to news reporting out of Sydney, Australia, by NewsRx editors, research stated, “Meat quality determination is now more vital t han ever, with an ever-increasing demand for meat, especially with a greater des ire for high-quality beef.” Funders for this research include Australian Research Council. The news reporters obtained a quote from the research from University of New Sou th Wales: “Many existing qualitative methods currently used for meat quality ass essment are strenuous, time-consuming, and subjective. The quantitative techniqu es employed are time-consuming, destructive, and expensive. In the search for a quantitative, rapid, and non-destructive method of determining meat quality, the use of autofluorescence has been employed and has demonstrated its capabilities to characterise meat grades by identifying biochemical features such as the int ramuscular fat and tryptophan content through the excitation of meat samples and the collection and analysis of the emission data.”
University of New South WalesSydneyA ustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine Lea rning
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