Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium
The invention discloses a lesion Chinese chestnut classification method and system based on a hyperspectrum and a convolutional neural network, and a medium. The method comprises the steps that hyperspectral information of Chinese chestnuts with various degrees of lesions is acquired and preprocesse...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| 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 | ZHONG NAN PENG ZHITONG ZHONG QIONGDA |
| description | The invention discloses a lesion Chinese chestnut classification method and system based on a hyperspectrum and a convolutional neural network, and a medium. The method comprises the steps that hyperspectral information of Chinese chestnuts with various degrees of lesions is acquired and preprocessed, and a hyperspectral data set of the Chinese chestnuts with various degrees of lesions is obtained; constructing a lesion Chinese chestnut recognition model based on an improved VGG16 convolutional neural network, and training the lesion Chinese chestnut recognition model according to the hyperspectral data sets of the lesion Chinese chestnuts of various degrees; and obtaining hyperspectral information of a to-be-detected Chinese chestnut sample, inputting the hyperspectral information into the trained lesion Chinese chestnut recognition model for detection, completing Chinese chestnut lesion recognition, and controlling a pneumatic classifier to classify lesion Chinese chestnuts according to a recognition result |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116229260A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116229260A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116229260A3</originalsourceid><addsrcrecordid>eNqNi7sKwkAQANNYiPoPa69gIgQsJSgWYmUfzrsNd3gvbveUgB9vEvwAqylmZl58rkgmeGi08UgIUiOxzwzSCiLTGSl49A5ZBwXCK6CeGB08BKGCQek-YqKIklN2UyGDfwWbx1FY8JjTBH6H9NxMhUNlslsWs05YwtWPi2J9Pt2byxZjaJGikDhcbXMry7qqDlW9O-7_ab587kih</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium</title><source>esp@cenet</source><creator>ZHONG NAN ; PENG ZHITONG ; ZHONG QIONGDA</creator><creatorcontrib>ZHONG NAN ; PENG ZHITONG ; ZHONG QIONGDA</creatorcontrib><description>The invention discloses a lesion Chinese chestnut classification method and system based on a hyperspectrum and a convolutional neural network, and a medium. The method comprises the steps that hyperspectral information of Chinese chestnuts with various degrees of lesions is acquired and preprocessed, and a hyperspectral data set of the Chinese chestnuts with various degrees of lesions is obtained; constructing a lesion Chinese chestnut recognition model based on an improved VGG16 convolutional neural network, and training the lesion Chinese chestnut recognition model according to the hyperspectral data sets of the lesion Chinese chestnuts of various degrees; and obtaining hyperspectral information of a to-be-detected Chinese chestnut sample, inputting the hyperspectral information into the trained lesion Chinese chestnut recognition model for detection, completing Chinese chestnut lesion recognition, and controlling a pneumatic classifier to classify lesion Chinese chestnuts according to a recognition result</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; CONVEYING ; COUNTING ; HANDLING THIN OR FILAMENTARY MATERIAL ; PACKING ; PERFORMING OPERATIONS ; PHYSICS ; PNEUMATIC TUBE CONVEYORS ; SHOP CONVEYOR SYSTEMS ; STORING ; TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING ; TRANSPORTING</subject><creationdate>2023</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&date=20230606&DB=EPODOC&CC=CN&NR=116229260A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230606&DB=EPODOC&CC=CN&NR=116229260A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHONG NAN</creatorcontrib><creatorcontrib>PENG ZHITONG</creatorcontrib><creatorcontrib>ZHONG QIONGDA</creatorcontrib><title>Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium</title><description>The invention discloses a lesion Chinese chestnut classification method and system based on a hyperspectrum and a convolutional neural network, and a medium. The method comprises the steps that hyperspectral information of Chinese chestnuts with various degrees of lesions is acquired and preprocessed, and a hyperspectral data set of the Chinese chestnuts with various degrees of lesions is obtained; constructing a lesion Chinese chestnut recognition model based on an improved VGG16 convolutional neural network, and training the lesion Chinese chestnut recognition model according to the hyperspectral data sets of the lesion Chinese chestnuts of various degrees; and obtaining hyperspectral information of a to-be-detected Chinese chestnut sample, inputting the hyperspectral information into the trained lesion Chinese chestnut recognition model for detection, completing Chinese chestnut lesion recognition, and controlling a pneumatic classifier to classify lesion Chinese chestnuts according to a recognition result</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>CONVEYING</subject><subject>COUNTING</subject><subject>HANDLING THIN OR FILAMENTARY MATERIAL</subject><subject>PACKING</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>PNEUMATIC TUBE CONVEYORS</subject><subject>SHOP CONVEYOR SYSTEMS</subject><subject>STORING</subject><subject>TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING</subject><subject>TRANSPORTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNi7sKwkAQANNYiPoPa69gIgQsJSgWYmUfzrsNd3gvbveUgB9vEvwAqylmZl58rkgmeGi08UgIUiOxzwzSCiLTGSl49A5ZBwXCK6CeGB08BKGCQek-YqKIklN2UyGDfwWbx1FY8JjTBH6H9NxMhUNlslsWs05YwtWPi2J9Pt2byxZjaJGikDhcbXMry7qqDlW9O-7_ab587kih</recordid><startdate>20230606</startdate><enddate>20230606</enddate><creator>ZHONG NAN</creator><creator>PENG ZHITONG</creator><creator>ZHONG QIONGDA</creator><scope>EVB</scope></search><sort><creationdate>20230606</creationdate><title>Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium</title><author>ZHONG NAN ; PENG ZHITONG ; ZHONG QIONGDA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116229260A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>CONVEYING</topic><topic>COUNTING</topic><topic>HANDLING THIN OR FILAMENTARY MATERIAL</topic><topic>PACKING</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>PNEUMATIC TUBE CONVEYORS</topic><topic>SHOP CONVEYOR SYSTEMS</topic><topic>STORING</topic><topic>TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING</topic><topic>TRANSPORTING</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHONG NAN</creatorcontrib><creatorcontrib>PENG ZHITONG</creatorcontrib><creatorcontrib>ZHONG QIONGDA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHONG NAN</au><au>PENG ZHITONG</au><au>ZHONG QIONGDA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium</title><date>2023-06-06</date><risdate>2023</risdate><abstract>The invention discloses a lesion Chinese chestnut classification method and system based on a hyperspectrum and a convolutional neural network, and a medium. The method comprises the steps that hyperspectral information of Chinese chestnuts with various degrees of lesions is acquired and preprocessed, and a hyperspectral data set of the Chinese chestnuts with various degrees of lesions is obtained; constructing a lesion Chinese chestnut recognition model based on an improved VGG16 convolutional neural network, and training the lesion Chinese chestnut recognition model according to the hyperspectral data sets of the lesion Chinese chestnuts of various degrees; and obtaining hyperspectral information of a to-be-detected Chinese chestnut sample, inputting the hyperspectral information into the trained lesion Chinese chestnut recognition model for detection, completing Chinese chestnut lesion recognition, and controlling a pneumatic classifier to classify lesion Chinese chestnuts according to a recognition result</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN116229260A |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONVEYING COUNTING HANDLING THIN OR FILAMENTARY MATERIAL PACKING PERFORMING OPERATIONS PHYSICS PNEUMATIC TUBE CONVEYORS SHOP CONVEYOR SYSTEMS STORING TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING ORTIPPING TRANSPORTING |
| title | Lesion Chinese chestnut classification method and system based on hyperspectrum and convolutional neural network, and medium |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T07%3A35%3A06IST&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=ZHONG%20NAN&rft.date=2023-06-06&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116229260A%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 |