Method for positioning fruit stem shear point of bunched tomato picking robot

The invention discloses a fruit stem shear point positioning method of a bunched tomato picking robot. A string tomato is used as a research object, a string tomato data set is established by using a data enhancement technology, and the maturity of a fruit string is judged by combining a YOLOv5 deep...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: YIN JINLIANG, AI XINYI, QIN HAO, CHEN YING, JEONG HA-JUN, LI WEI, YANG YAN, RONG JIACHENG, ZHANG YU, ZHANG JUNXIONG, YUAN TING
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 YIN JINLIANG
AI XINYI
QIN HAO
CHEN YING
JEONG HA-JUN
LI WEI
YANG YAN
RONG JIACHENG
ZHANG YU
ZHANG JUNXIONG
YUAN TING
description The invention discloses a fruit stem shear point positioning method of a bunched tomato picking robot. A string tomato is used as a research object, a string tomato data set is established by using a data enhancement technology, and the maturity of a fruit string is judged by combining a YOLOv5 deep learning algorithm. The method comprises the following steps of: obtaining a cluster of fruit stems of the fruit bunches by using an European clustering method, extracting a cluster of a central region, and fitting a straight line segment of a fruit stem space by using an RANSAC straight line fitting method so as to output position information of shear points of the mature fruit bunches. The cluster tomato picking robot recognizes cluster tomatoes, mature fruits, color changing period fruits and immature fruits at first, a visual fruit stem area point cloud picture is generated through fruit stem depth images, after point cloud data is subjected to European clustering, fruit stem clusters are extracted and subject
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117893599A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117893599A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117893599A3</originalsourceid><addsrcrecordid>eNqNizEOwjAMALMwIOAP5gEMVYUgI6pasZSJvUpTh1jQOIrd_6NKPIDphrvbmr5HjTxB4AKZhZQ4UXpBKAspiOIMEtGtkpICBxiX5CNOoDw7Zcjk3-tQeGTdm01wH8HDjztz7Npncz9h5gElO48JdWgeVXW52vps7a3-p_kC9cE2hA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method for positioning fruit stem shear point of bunched tomato picking robot</title><source>esp@cenet</source><creator>YIN JINLIANG ; AI XINYI ; QIN HAO ; CHEN YING ; JEONG HA-JUN ; LI WEI ; YANG YAN ; RONG JIACHENG ; ZHANG YU ; ZHANG JUNXIONG ; YUAN TING</creator><creatorcontrib>YIN JINLIANG ; AI XINYI ; QIN HAO ; CHEN YING ; JEONG HA-JUN ; LI WEI ; YANG YAN ; RONG JIACHENG ; ZHANG YU ; ZHANG JUNXIONG ; YUAN TING</creatorcontrib><description>The invention discloses a fruit stem shear point positioning method of a bunched tomato picking robot. A string tomato is used as a research object, a string tomato data set is established by using a data enhancement technology, and the maturity of a fruit string is judged by combining a YOLOv5 deep learning algorithm. The method comprises the following steps of: obtaining a cluster of fruit stems of the fruit bunches by using an European clustering method, extracting a cluster of a central region, and fitting a straight line segment of a fruit stem space by using an RANSAC straight line fitting method so as to output position information of shear points of the mature fruit bunches. The cluster tomato picking robot recognizes cluster tomatoes, mature fruits, color changing period fruits and immature fruits at first, a visual fruit stem area point cloud picture is generated through fruit stem depth images, after point cloud data is subjected to European clustering, fruit stem clusters are extracted and subject</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</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=20240416&amp;DB=EPODOC&amp;CC=CN&amp;NR=117893599A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25566,76549</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240416&amp;DB=EPODOC&amp;CC=CN&amp;NR=117893599A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YIN JINLIANG</creatorcontrib><creatorcontrib>AI XINYI</creatorcontrib><creatorcontrib>QIN HAO</creatorcontrib><creatorcontrib>CHEN YING</creatorcontrib><creatorcontrib>JEONG HA-JUN</creatorcontrib><creatorcontrib>LI WEI</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>RONG JIACHENG</creatorcontrib><creatorcontrib>ZHANG YU</creatorcontrib><creatorcontrib>ZHANG JUNXIONG</creatorcontrib><creatorcontrib>YUAN TING</creatorcontrib><title>Method for positioning fruit stem shear point of bunched tomato picking robot</title><description>The invention discloses a fruit stem shear point positioning method of a bunched tomato picking robot. A string tomato is used as a research object, a string tomato data set is established by using a data enhancement technology, and the maturity of a fruit string is judged by combining a YOLOv5 deep learning algorithm. The method comprises the following steps of: obtaining a cluster of fruit stems of the fruit bunches by using an European clustering method, extracting a cluster of a central region, and fitting a straight line segment of a fruit stem space by using an RANSAC straight line fitting method so as to output position information of shear points of the mature fruit bunches. The cluster tomato picking robot recognizes cluster tomatoes, mature fruits, color changing period fruits and immature fruits at first, a visual fruit stem area point cloud picture is generated through fruit stem depth images, after point cloud data is subjected to European clustering, fruit stem clusters are extracted and subject</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOwjAMALMwIOAP5gEMVYUgI6pasZSJvUpTh1jQOIrd_6NKPIDphrvbmr5HjTxB4AKZhZQ4UXpBKAspiOIMEtGtkpICBxiX5CNOoDw7Zcjk3-tQeGTdm01wH8HDjztz7Npncz9h5gElO48JdWgeVXW52vps7a3-p_kC9cE2hA</recordid><startdate>20240416</startdate><enddate>20240416</enddate><creator>YIN JINLIANG</creator><creator>AI XINYI</creator><creator>QIN HAO</creator><creator>CHEN YING</creator><creator>JEONG HA-JUN</creator><creator>LI WEI</creator><creator>YANG YAN</creator><creator>RONG JIACHENG</creator><creator>ZHANG YU</creator><creator>ZHANG JUNXIONG</creator><creator>YUAN TING</creator><scope>EVB</scope></search><sort><creationdate>20240416</creationdate><title>Method for positioning fruit stem shear point of bunched tomato picking robot</title><author>YIN JINLIANG ; AI XINYI ; QIN HAO ; CHEN YING ; JEONG HA-JUN ; LI WEI ; YANG YAN ; RONG JIACHENG ; ZHANG YU ; ZHANG JUNXIONG ; YUAN TING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117893599A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>YIN JINLIANG</creatorcontrib><creatorcontrib>AI XINYI</creatorcontrib><creatorcontrib>QIN HAO</creatorcontrib><creatorcontrib>CHEN YING</creatorcontrib><creatorcontrib>JEONG HA-JUN</creatorcontrib><creatorcontrib>LI WEI</creatorcontrib><creatorcontrib>YANG YAN</creatorcontrib><creatorcontrib>RONG JIACHENG</creatorcontrib><creatorcontrib>ZHANG YU</creatorcontrib><creatorcontrib>ZHANG JUNXIONG</creatorcontrib><creatorcontrib>YUAN TING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YIN JINLIANG</au><au>AI XINYI</au><au>QIN HAO</au><au>CHEN YING</au><au>JEONG HA-JUN</au><au>LI WEI</au><au>YANG YAN</au><au>RONG JIACHENG</au><au>ZHANG YU</au><au>ZHANG JUNXIONG</au><au>YUAN TING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for positioning fruit stem shear point of bunched tomato picking robot</title><date>2024-04-16</date><risdate>2024</risdate><abstract>The invention discloses a fruit stem shear point positioning method of a bunched tomato picking robot. A string tomato is used as a research object, a string tomato data set is established by using a data enhancement technology, and the maturity of a fruit string is judged by combining a YOLOv5 deep learning algorithm. The method comprises the following steps of: obtaining a cluster of fruit stems of the fruit bunches by using an European clustering method, extracting a cluster of a central region, and fitting a straight line segment of a fruit stem space by using an RANSAC straight line fitting method so as to output position information of shear points of the mature fruit bunches. The cluster tomato picking robot recognizes cluster tomatoes, mature fruits, color changing period fruits and immature fruits at first, a visual fruit stem area point cloud picture is generated through fruit stem depth images, after point cloud data is subjected to European clustering, fruit stem clusters are extracted and subject</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117893599A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Method for positioning fruit stem shear point of bunched tomato picking robot
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-17T19%3A23%3A17IST&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=YIN%20JINLIANG&rft.date=2024-04-16&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117893599A%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