您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Recent advances in Raman technology with applications in agriculture, food and biosystems: A review

文献类型： 外文期刊

作者： Weng, Shizhuang 2 ; Zhu, Wenxiu 2 ; Zhang, Xueyan 2 ; Yuan, Hecai 2 ; Zheng, Ling 2 ; Zhao, Jinling 2 ; Huang, Linsheng 2 ; Han, Ping 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Agr Prod Qual & Safety Risk Assessment Lab, Minist Agr Beijing, Beijing, Peoples R China

2.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applica, 111 Jiulong Rd, Hefei, Peoples R China

3.Anhui Univ, Hefei 230601, Anhui, Peoples R China

关键词： Raman technology; Adulteration; Plant diseases; Farm chemicals; Toxins; Spectral processing methods

期刊名称：ARTIFICIAL INTELLIGENCE IN AGRICULTURE

ISSN：

年卷期： 2019 年 3 卷

页码：

收录情况： SCI

摘要： Raman technology, which covers Raman spectroscopy (RS) and its various derivative methods, has been widely applied in detection of various substances in agriculture, food and biosystems. This article reviews the recent advances in two mainstream Raman technologies as RS and SERS, including technical evolution, application and challenges, and spectral processing methods. Firstly, the origin, principle, defect, and development of RS were introduced. Then, the current situation, existing problems, and development trend of RS and SERS were discussed in agriculture, food, and biosystems, such as adulteration recognition, plant diseases identification, farm chemicals detection, food additives determination, and toxins analysis. At last, the spectral analysis methods include noise reduction, feature extraction or variable selection, and modeling were introduced in detail, which can realize the automatic and intelligent analysis of spectra without relying on professionals.& COPY; 2019 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台