首页|Data on Machine Learning Reported by Matteo Calligaris and Colleagues [High-resolution proteomics and machine-learning identify protein classifiers of honey made by Sicilian black honeybees (Apis mellifera ssp. sicula)]
Data on Machine Learning Reported by Matteo Calligaris and Colleagues [High-resolution proteomics and machine-learning identify protein classifiers of honey made by Sicilian black honeybees (Apis mellifera ssp. sicula)]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Palermo, Italy , by NewsRx journalists, research stated, “Apis mellifera ssp. sicula, also know n as the Sicilian black honeybee, is a Slow Food Presidium that produces honey w ith outstanding nutraceutical properties, including high antioxidant capacity. I n this study, we used high-resolution proteomics to profile the honey produced b y sicula and identify protein classifiers that distinguish it from that made by the more common Italian honeybee (Apis mellifera ssp. ligustica).”
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