首页|International Rice Research Institute Reports Findings in Machine Learning (Mach ine learning approach for high-throughput phenolic antioxidant screening in blac k Rice germplasm collection based on surface FTIR)
International Rice Research Institute Reports Findings in Machine Learning (Mach ine learning approach for high-throughput phenolic antioxidant screening in blac k Rice germplasm collection based on surface FTIR)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Laguna, Philip pines, by NewsRx journalists, research stated, “Pigmented ricecontains benefici al phenolic antioxidants but analysing them across germplasm collections is labo riousand time-consuming. Here we utilised rapid surface Fourier transform infra red (FTIR) spectroscopy andmachine learning algorithms (ML) to predict and clas sify polyphenolic antioxidants.”
LagunaPhilippinesAsiaAnthocyaninsBiological FactorsBiological PigmentsCyborgsEmerging TechnologiesMachin e Learning
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