首页|Recent Studies from State University Add New Data to Machine Learning (Predictio n of Secondary Metabolites In Maize Under Different Nitrogen Inputs By Hyperspec tral Sensing and Machine Learning)
Recent Studies from State University Add New Data to Machine Learning (Predictio n of Secondary Metabolites In Maize Under Different Nitrogen Inputs By Hyperspec tral Sensing and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Investigators discuss new findings in Machine Lea rning. According to news reporting originating inSinop, Brazil, by NewsRx journ alists, research stated, "Flavonoids are compounds resulting from secondaryplan t metabolism that provide benefits to human health by food. This study aimed to accuracy of predictingflavonoids in maize plants subjected to different nitroge n rates using hyperspectral reflectance and machinelearning (ML) algorithms."Financial supporters for this research include Universidade Federal de Mato Gros so do Sul (UFMS),Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ), Fundacao de Apoio ao Desenvolvimentodo Ensino Ciencia e Tecnologia do E stado de Mato Grosso do Sul (FUNDECT MS), SIAFEM,SIAFIC, Coordenacao de Aperfei coamento de Pessoal de Nivel Superior (CAPES).
SinopBrazilSouth AmericaAlgorithmsCyborgsEmerging TechnologiesMachine LearningNitrogenState University
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