摘要
由新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-详细的机器学习数据已经呈现。根据NewsRx记者在巴西南查帕道的新闻报道，研究表明：“本研究旨在评估机器学习技术在利用叶片高光谱反射率根据粮食工业性状区分大豆Genot Ypes群体中的准确性。共对32个大豆基因型进行了评估和随机分组，共4个重复。”这项研究的财政支持者包括南马托格罗索联邦大学(UFMS)、国家科学技术发展委员会(CNPQ)、南马托格罗索州科学技术发展基金（MS基金）、高等教育委员会(CAPES)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating in Chapadao do Sul, Bra zil, by NewsRx journalists, research stated, "This research aimed to evaluate th e accuracy of machine learning techniques in distinguishing groups soybean genot ypes according to grain industrial traits using hyperspectral reflectance of the leaves. A total of 32 soybean genotypes were evaluated and allocated in randomi zed blocks with four replications." 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 Desenvolvimento do Ensino Ciencia e Tecnologia do E stado de Mato Grosso do Sul (FUNDECT MS), Coordenacao de Aperfeicoamento de Pess oal de Nivel Superior (CAPES).
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