摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-食源性疾病和条件的新研究-食品安全是一个新的主题报告据NewsRx报道，原产于中华人民共和国杭州记者s，研究指出，“区分任务，即识别不同的食物材料，品牌和产地已经成为食品安全控制的重要组成部分。近年来，光谱学将特征分析与机器学习结合起来正在成为与食物相关的辨别任务的流行，但是找到一个合适的分类模型可能是一个挑战。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Foodborne Diseases and Conditions - Food Safety is the subject of areport. According to news reportin g originating from Hangzhou, People’s Republic of China, by NewsRxcorrespondent s, research stated, “Discriminative tasks, i.e., the identification of different food materials,brands, and origins, have become an essential part of food safe ty control. In recent years, spectroscopicprofiling combined with machine learn ing is becoming popular for food-related discriminative tasks, butfinding an ap propriate classification model can be challenging.”
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