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烟叶品质关键参数高光谱检测技术及装备研究综述

黄瑾 张立福 徐淑浩 孙雪剑 段宜杉 赵之鹏 翟浩然 王倩

红外与毫米波学报2025,Vol.44Issue(5):781-789,9.
红外与毫米波学报2025,Vol.44Issue(5):781-789,9.DOI:10.11972/j.issn.1001-9014.2025.05.016

烟叶品质关键参数高光谱检测技术及装备研究综述

A review on the research of hyperspectral detection technology and equipment for key quality parameters of tobacco leaves

黄瑾 1张立福 2徐淑浩 3孙雪剑 2段宜杉 3赵之鹏 4翟浩然 4王倩5

作者信息

  • 1. 西华师范大学 地理科学学院,四川 南充 637009
  • 2. 中国科学院空天信息创新研究院,北京 100101
  • 3. 红云红河烟草(集团)有限责任公司,云南 昆明 650231
  • 4. 天津中科谱光信息技术有限公司,天津 300384
  • 5. 天津师范大学 地理学部,天津 300387
  • 折叠

摘要

Abstract

An overview is provided of the research progress in the application of hyperspectral detection technology for non-destructive testing of key parameters in tobacco leaf quality.Methods and equipment for the rapid detection of chemical components such as total sugar,reducing sugar,total nitrogen,nicotine,starch,chloride,and potassium in tobacco leaves using this technology are explored.The impact of different tobacco sample forms on spectral data is pointed out.The advantages and challenges of hyperspectral technology in applications such as field management,har-vest optimization,and online grading in tobacco production are analyzed.The promising prospects of combining hyper-spectral technology with artificial intelligence to build predictive models for tobacco leaf chemical composition are pro-posed.This combination provides scientific evidence and references for improving detection efficiency and quality in the tobacco industry.

关键词

高光谱检测/烟叶品质/综述/化学成分分析/高光谱装备

Key words

hyperspectral detection/tobacco leaf quality/review/chemical composition analysis/hyperspectral equipment

分类

农业科学

引用本文复制引用

黄瑾,张立福,徐淑浩,孙雪剑,段宜杉,赵之鹏,翟浩然,王倩..烟叶品质关键参数高光谱检测技术及装备研究综述[J].红外与毫米波学报,2025,44(5):781-789,9.

基金项目

国家自然科学基金(42201387)Supported by the National Natural Science Foundation of China(42201387) (42201387)

红外与毫米波学报

OA北大核心

1001-9014

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