首页|Study Results from University of Barcelona Update Understanding of Machine Learn ing (Exploring the Chemical Diversity Of Capsicum Chinense Cultivars Using Nmr-b ased Metabolomics and Machine Learning Methods)
Study Results from University of Barcelona Update Understanding of Machine Learn ing (Exploring the Chemical Diversity Of Capsicum Chinense Cultivars Using Nmr-b ased Metabolomics and Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Barcelona, Spain, by NewsR x journalists, research stated, “The habanero pepper (Capsicum chinense) is a pr ominent spicy fruit integral to the historical, social, cultural, and economic f abric of the Yucatan peninsula in Mexico. This study leverages the power of 1H N MR spectroscopy coupled with machine learning algorithms to dissect the metabolo mic profile of eleven C. chinense cultivars, including those grown by INIFAP (Ha banero -Jaguar, Antillano-HRA 1-1, Antillano-HRA 7-1, Habanero- HAm18A, Habanero- HC-23C, and Jolokia-NJolokia-22) and commercial hybrids (Habanero-Rey Vot ‘ an, HabaneroKabal, Balam, USAPR10117, and Rey Pakal).”
BarcelonaSpainEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Barcelona
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