King Mongkut’s Institute of Technology Ladkrabang Reports Findings in Machine Learning (Geographical origin identification of Khao Dawk Mali 105 rice using comb ination of FT-NIR spectroscopy and machine learning algorithms)
蒙库特国王技术研究所Ladkrabang报告了机器学习的发现（利用FT-NIR光谱和机器学习算法对Khao Dawk Mali 105水稻进行地理起源鉴定）
King Mongkut’s Institute of Technology Ladkrabang Reports Findings in Machine Learning (Geographical origin identification of Khao Dawk Mali 105 rice using comb ination of FT-NIR spectroscopy and machine learning algorithms)
蒙库特国王技术研究所Ladkrabang报告了机器学习的发现（利用FT-NIR光谱和机器学习算法对Khao Dawk Mali 105水稻进行地理起源鉴定）
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摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx Journa Lists在泰国曼谷的新闻报道，研究表明，"来自Thung Kula Rong Hai地区以外的其他地理区域的错误标签Khao Dawk Mali 105大米极其有利可图，难以发现；为了防止零售欺诈（对食品行业和消费者造成不利影响），近红外光谱技术可用于检测农产品和食品中有机成分的特定含量。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject of a report. According to news reporting from Bangkok, Thailand, by NewsRx journa lists, research stated, “The mislabelled Khao Dawk Mali 105 rice coming from oth er geographical region outside the Thung Kula Rong Hai region is extremely profi table and difficult to detect; to prevent retail fraud (that adversely affects b oth the food industry and consumers), it is vital to identify geographical origi n. Near infrared spectroscopy can be used to detect the specific content of orga nic moieties in agricultural and food products.”
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