Tobacco mellowing judgment method based on near infrared spectrum

Tobacco mellowing judgment method based on near infrared spectrum

The invention discloses a tobacco mellowing judgment method based on near infrared spectroscopy, which comprises the following steps: obtaining tobacco samples including training set samples and prediction set samples, and performing sensory evaluation on the tobacco samples to obtain sensory mellow...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: OU MINGYI, YANG YANG, WU YOUXIANG, LIU SUCAN, GONG SHUANG
Format: Patent
Sprache:chi ; eng
Schlagworte:
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator OU MINGYI
YANG YANG
WU YOUXIANG
LIU SUCAN
GONG SHUANG
description The invention discloses a tobacco mellowing judgment method based on near infrared spectroscopy, which comprises the following steps: obtaining tobacco samples including training set samples and prediction set samples, and performing sensory evaluation on the tobacco samples to obtain sensory mellowing scores of the tobacco samples; carrying out sample pretreatment on the tobacco sample, and obtaining a near infrared spectrum of the tobacco sample; establishing a correction model between the sensory alcoholization score of the training set sample and the near infrared spectrum by adopting PLS; obtaining a predicted alcoholization score of the prediction set sample by using the correction model, and optimizing parameters of the correction model; and utilizing the optimized correction model to predict the alcoholization score of an unknown tobacco sample. By adopting the method disclosed by the invention, the sensory evaluation score of the tobacco leaf field can be quickly and effectively obtained to predict t
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114295579A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114295579A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114295579A3</originalsourceid><addsrcrecordid>eNrjZHAMyU9KTE7OV8hNzcnJL8_MS1fIKk1Jz03NKwEKlWTkpygkJRanpijk5ynkpSYWKWTmpRUlFgEFigtSk0uKSnN5GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFicmpeakm8s5-hoYmRpampuaWjMTFqABcAMeY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Tobacco mellowing judgment method based on near infrared spectrum</title><source>esp@cenet</source><creator>OU MINGYI ; YANG YANG ; WU YOUXIANG ; LIU SUCAN ; GONG SHUANG</creator><creatorcontrib>OU MINGYI ; YANG YANG ; WU YOUXIANG ; LIU SUCAN ; GONG SHUANG</creatorcontrib><description>The invention discloses a tobacco mellowing judgment method based on near infrared spectroscopy, which comprises the following steps: obtaining tobacco samples including training set samples and prediction set samples, and performing sensory evaluation on the tobacco samples to obtain sensory mellowing scores of the tobacco samples; carrying out sample pretreatment on the tobacco sample, and obtaining a near infrared spectrum of the tobacco sample; establishing a correction model between the sensory alcoholization score of the training set sample and the near infrared spectrum by adopting PLS; obtaining a predicted alcoholization score of the prediction set sample by using the correction model, and optimizing parameters of the correction model; and utilizing the optimized correction model to predict the alcoholization score of an unknown tobacco sample. By adopting the method disclosed by the invention, the sensory evaluation score of the tobacco leaf field can be quickly and effectively obtained to predict t</description><language>chi ; eng</language><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220408&amp;DB=EPODOC&amp;CC=CN&amp;NR=114295579A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220408&amp;DB=EPODOC&amp;CC=CN&amp;NR=114295579A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>OU MINGYI</creatorcontrib><creatorcontrib>YANG YANG</creatorcontrib><creatorcontrib>WU YOUXIANG</creatorcontrib><creatorcontrib>LIU SUCAN</creatorcontrib><creatorcontrib>GONG SHUANG</creatorcontrib><title>Tobacco mellowing judgment method based on near infrared spectrum</title><description>The invention discloses a tobacco mellowing judgment method based on near infrared spectroscopy, which comprises the following steps: obtaining tobacco samples including training set samples and prediction set samples, and performing sensory evaluation on the tobacco samples to obtain sensory mellowing scores of the tobacco samples; carrying out sample pretreatment on the tobacco sample, and obtaining a near infrared spectrum of the tobacco sample; establishing a correction model between the sensory alcoholization score of the training set sample and the near infrared spectrum by adopting PLS; obtaining a predicted alcoholization score of the prediction set sample by using the correction model, and optimizing parameters of the correction model; and utilizing the optimized correction model to predict the alcoholization score of an unknown tobacco sample. By adopting the method disclosed by the invention, the sensory evaluation score of the tobacco leaf field can be quickly and effectively obtained to predict t</description><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAMyU9KTE7OV8hNzcnJL8_MS1fIKk1Jz03NKwEKlWTkpygkJRanpijk5ynkpSYWKWTmpRUlFgEFigtSk0uKSnN5GFjTEnOKU3mhNDeDoptriLOHbmpBfnxqcUFicmpeakm8s5-hoYmRpampuaWjMTFqABcAMeY</recordid><startdate>20220408</startdate><enddate>20220408</enddate><creator>OU MINGYI</creator><creator>YANG YANG</creator><creator>WU YOUXIANG</creator><creator>LIU SUCAN</creator><creator>GONG SHUANG</creator><scope>EVB</scope></search><sort><creationdate>20220408</creationdate><title>Tobacco mellowing judgment method based on near infrared spectrum</title><author>OU MINGYI ; YANG YANG ; WU YOUXIANG ; LIU SUCAN ; GONG SHUANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114295579A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>OU MINGYI</creatorcontrib><creatorcontrib>YANG YANG</creatorcontrib><creatorcontrib>WU YOUXIANG</creatorcontrib><creatorcontrib>LIU SUCAN</creatorcontrib><creatorcontrib>GONG SHUANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>OU MINGYI</au><au>YANG YANG</au><au>WU YOUXIANG</au><au>LIU SUCAN</au><au>GONG SHUANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Tobacco mellowing judgment method based on near infrared spectrum</title><date>2022-04-08</date><risdate>2022</risdate><abstract>The invention discloses a tobacco mellowing judgment method based on near infrared spectroscopy, which comprises the following steps: obtaining tobacco samples including training set samples and prediction set samples, and performing sensory evaluation on the tobacco samples to obtain sensory mellowing scores of the tobacco samples; carrying out sample pretreatment on the tobacco sample, and obtaining a near infrared spectrum of the tobacco sample; establishing a correction model between the sensory alcoholization score of the training set sample and the near infrared spectrum by adopting PLS; obtaining a predicted alcoholization score of the prediction set sample by using the correction model, and optimizing parameters of the correction model; and utilizing the optimized correction model to predict the alcoholization score of an unknown tobacco sample. By adopting the method disclosed by the invention, the sensory evaluation score of the tobacco leaf field can be quickly and effectively obtained to predict t</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114295579A
source esp@cenet
subjects INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
TESTING
title Tobacco mellowing judgment method based on near infrared spectrum
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T20%3A39%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=OU%20MINGYI&rft.date=2022-04-08&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114295579A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true