首页|Beijing Academy of Agricultural and Forestry Sciences Reports Find- ings in Support Vector Machines (Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures)
Beijing Academy of Agricultural and Forestry Sciences Reports Find- ings in Support Vector Machines (Porphyrin fluorescence imaging for real-time monitoring and visualization of the freshness of beef stored at different temperatures)
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2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Support Vector Machines is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “This study presents a novel fluorescence imaging method for the real-time monitoring of beef quality deterioration and freshness. The fluorescence property of porphyrin in the form of heme can be used to characterize quality changes in beef during storage.” Our news journalists obtained a quote from the research from the Beijing Academy of Agricultural and Forestry Sciences, “Therefore, a fluorescence imaging system with an excitation light source of 440 nm and a CCD camera with a specific wavelength filter of 595 nm was constructed, and the porphyrin fluorescence images of beef samples stored at different temperatures were then collected. The quantitative model for predicting the microbial freshness indicator (TVC) of beef was built with the support vector machine regression (SVR) algorithm and produced satisfactory results with R and R of 0.858 and 0.812, respectively.”
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