Study on Moisture Content Prediction of Tobacco Leaf Based on Near Infrared Spectroscopy-Reference-Cited by-同舟云学术

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Study on Moisture Content Prediction of Tobacco Leaf Based on Near Infrared Spectroscopy

Published:2023-11-10 Issue: Volume:38 Page:1413-1418
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
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Author:

Liu Hao¹,Meng Lingfeng¹,Wang Songfeng¹,Wang Aihua¹,Du Haina¹,Zhao Panzhen¹,Sun Fushan¹

Affiliation:

1. Ministry of Agriculture Institute of Tobacco Research of CAAS,Key Laboratory of Tobacco Biology and Processing,Qingdao,China

Funder

Chinese Academy of Agricultural Sciences

China National Tobacco Corporation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528519.pdf?arnumber=10528519

Reference29 articles.

1. Effect of different flue-curingtechnologies on appearance grade quality and key chemical components of crude tobacco leaves[J];Guomin;Horticulture & Seed,2013

2. Effects of temperature and humility condition on main physiological characteristics and quality of cured leaf by using bulk curing barn[J];Changrong;Journal of Northwest A & F University(Natural Science Edition),2007

3. A prediction model of water content of fresh tobacco leaves based on support vector machine regression[J];Pan;Journal of Southwest University(Natural Science Edition),2016

4. Study on the relationship between flue-cured tobacco physical property and place of production, grades, routine chemical components[J];Ji;Journal of Anhui Agricultural Sciences

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