Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New study results on have been publish ed. According to news reporting out of Liaoning, People’s Republic of China, by NewsRx editors, research stated, “This study investigated the physicochemical an d flavor quality changes in fresh-cut papaya that was stored at 4 °C.” The news journalists obtained a quote from the research from Shenyang Agricultur al University: “Multivariate statistical analysis was used to evaluate the fresh ness of fresh-cut papaya. Aerobic plate counts were selected as a predictor of f reshness of fresh-cut papaya, and a prediction model for freshness was establish ed using partial least squares regression (PLSR), and support vector machine reg ression (SVMR) algorithms. Freshness of fresh-cut papaya could be well distingui shed based on physicochemical and flavor quality analyses. The aerobic plate cou nts, as a predictor of freshness of fresh-cut papaya, significantly correlated w ith storage time. The SVMR model had a higher prediction accuracy than the PLSR model.”
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