Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting

This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effecto...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of robotics and mechatronics 2020-04, Vol.32 (2), p.437-444
Hauptverfasser: Yoshida, Takeshi, Fukao, Takanori, Hasegawa, Takaomi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 444
container_issue 2
container_start_page 437
container_title Journal of robotics and mechatronics
container_volume 32
creator Yoshida, Takeshi
Fukao, Takanori
Hasegawa, Takaomi
description This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effector to harvest tomatoes. Robots must be able to detect where to cut crops during harvesting. The proposed method was used to detect the cutting points on peduncles using a point cloud captured by the RGB-D camera. Our robot was used to identify the cutting points on target tomato peduncles at an actual farm to demonstrate the effectiveness of our approach experimentally. Using the proposed method, the harvesting robot could detect the cutting points on tomatoes.
doi_str_mv 10.20965/jrm.2020.p0437
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2460072220</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2460072220</sourcerecordid><originalsourceid>FETCH-LOGICAL-c376t-4def85bdc4a19223d53439ad7e976b0c753477bc8f7ac821cfbc438fb084312e3</originalsourceid><addsrcrecordid>eNotkEtLAzEUhYMoWGrXbgOup81rJslSxkeFiiLtOmQyiU5pJzXJKP57M23v5t5zOZwDHwC3GM0JklW52IZ9vgiaHxCj_AJMsBC0EIjJSzBBEpcFlYxcg1mMW5SnZFxSPgGv9ZBS13_Cd9_1CT7YZE3qfA83cfxq-OEbn-Bvl77OlnrnhzZC5wNc-71OHi51-LFxTLkBV07vop2d9xRsnh7X9bJYvT2_1PerwlBepYK11omyaQ3TWBJC25IyKnXLreRVgwzPmvPGCMe1EQQb1xhGhWuQYBQTS6fg7pR7CP57yN1q64fQ50pFWIUQJ4Sg7FqcXCb4GIN16hC6vQ5_CiN1xKYyNjViU0ds9B_xC2A-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2460072220</pqid></control><display><type>article</type><title>Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>J-STAGE (Japan Science &amp; Technology Information Aggregator, Electronic) Freely Available Titles - Japanese</source><source>Open Access Titles of Japan</source><creator>Yoshida, Takeshi ; Fukao, Takanori ; Hasegawa, Takaomi</creator><creatorcontrib>Yoshida, Takeshi ; Fukao, Takanori ; Hasegawa, Takaomi ; Denso Corporation 1-1 Syowa-cho, Kariya, Aichi 448-8661, Japan ; Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan</creatorcontrib><description>This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effector to harvest tomatoes. Robots must be able to detect where to cut crops during harvesting. The proposed method was used to detect the cutting points on peduncles using a point cloud captured by the RGB-D camera. Our robot was used to identify the cutting points on target tomato peduncles at an actual farm to demonstrate the effectiveness of our approach experimentally. Using the proposed method, the harvesting robot could detect the cutting points on tomatoes.</description><identifier>ISSN: 0915-3942</identifier><identifier>EISSN: 1883-8049</identifier><identifier>DOI: 10.20965/jrm.2020.p0437</identifier><language>eng</language><publisher>Tokyo: Fuji Technology Press Co. Ltd</publisher><subject>Cameras ; Cutting ; End effectors ; Farms ; Harvesting ; Robots ; Tomatoes</subject><ispartof>Journal of robotics and mechatronics, 2020-04, Vol.32 (2), p.437-444</ispartof><rights>Copyright © 2020 Fuji Technology Press Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-4def85bdc4a19223d53439ad7e976b0c753477bc8f7ac821cfbc438fb084312e3</citedby><cites>FETCH-LOGICAL-c376t-4def85bdc4a19223d53439ad7e976b0c753477bc8f7ac821cfbc438fb084312e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,861,27905,27906</link.rule.ids></links><search><creatorcontrib>Yoshida, Takeshi</creatorcontrib><creatorcontrib>Fukao, Takanori</creatorcontrib><creatorcontrib>Hasegawa, Takaomi</creatorcontrib><creatorcontrib>Denso Corporation 1-1 Syowa-cho, Kariya, Aichi 448-8661, Japan</creatorcontrib><creatorcontrib>Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan</creatorcontrib><title>Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting</title><title>Journal of robotics and mechatronics</title><description>This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effector to harvest tomatoes. Robots must be able to detect where to cut crops during harvesting. The proposed method was used to detect the cutting points on peduncles using a point cloud captured by the RGB-D camera. Our robot was used to identify the cutting points on target tomato peduncles at an actual farm to demonstrate the effectiveness of our approach experimentally. Using the proposed method, the harvesting robot could detect the cutting points on tomatoes.</description><subject>Cameras</subject><subject>Cutting</subject><subject>End effectors</subject><subject>Farms</subject><subject>Harvesting</subject><subject>Robots</subject><subject>Tomatoes</subject><issn>0915-3942</issn><issn>1883-8049</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNotkEtLAzEUhYMoWGrXbgOup81rJslSxkeFiiLtOmQyiU5pJzXJKP57M23v5t5zOZwDHwC3GM0JklW52IZ9vgiaHxCj_AJMsBC0EIjJSzBBEpcFlYxcg1mMW5SnZFxSPgGv9ZBS13_Cd9_1CT7YZE3qfA83cfxq-OEbn-Bvl77OlnrnhzZC5wNc-71OHi51-LFxTLkBV07vop2d9xRsnh7X9bJYvT2_1PerwlBepYK11omyaQ3TWBJC25IyKnXLreRVgwzPmvPGCMe1EQQb1xhGhWuQYBQTS6fg7pR7CP57yN1q64fQ50pFWIUQJ4Sg7FqcXCb4GIN16hC6vQ5_CiN1xKYyNjViU0ds9B_xC2A-</recordid><startdate>20200420</startdate><enddate>20200420</enddate><creator>Yoshida, Takeshi</creator><creator>Fukao, Takanori</creator><creator>Hasegawa, Takaomi</creator><general>Fuji Technology Press Co. Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200420</creationdate><title>Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting</title><author>Yoshida, Takeshi ; Fukao, Takanori ; Hasegawa, Takaomi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-4def85bdc4a19223d53439ad7e976b0c753477bc8f7ac821cfbc438fb084312e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cameras</topic><topic>Cutting</topic><topic>End effectors</topic><topic>Farms</topic><topic>Harvesting</topic><topic>Robots</topic><topic>Tomatoes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yoshida, Takeshi</creatorcontrib><creatorcontrib>Fukao, Takanori</creatorcontrib><creatorcontrib>Hasegawa, Takaomi</creatorcontrib><creatorcontrib>Denso Corporation 1-1 Syowa-cho, Kariya, Aichi 448-8661, Japan</creatorcontrib><creatorcontrib>Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of robotics and mechatronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yoshida, Takeshi</au><au>Fukao, Takanori</au><au>Hasegawa, Takaomi</au><aucorp>Denso Corporation 1-1 Syowa-cho, Kariya, Aichi 448-8661, Japan</aucorp><aucorp>Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting</atitle><jtitle>Journal of robotics and mechatronics</jtitle><date>2020-04-20</date><risdate>2020</risdate><volume>32</volume><issue>2</issue><spage>437</spage><epage>444</epage><pages>437-444</pages><issn>0915-3942</issn><eissn>1883-8049</eissn><abstract>This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effector to harvest tomatoes. Robots must be able to detect where to cut crops during harvesting. The proposed method was used to detect the cutting points on peduncles using a point cloud captured by the RGB-D camera. Our robot was used to identify the cutting points on target tomato peduncles at an actual farm to demonstrate the effectiveness of our approach experimentally. Using the proposed method, the harvesting robot could detect the cutting points on tomatoes.</abstract><cop>Tokyo</cop><pub>Fuji Technology Press Co. Ltd</pub><doi>10.20965/jrm.2020.p0437</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0915-3942
ispartof Journal of robotics and mechatronics, 2020-04, Vol.32 (2), p.437-444
issn 0915-3942
1883-8049
language eng
recordid cdi_proquest_journals_2460072220
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; J-STAGE (Japan Science & Technology Information Aggregator, Electronic) Freely Available Titles - Japanese; Open Access Titles of Japan
subjects Cameras
Cutting
End effectors
Farms
Harvesting
Robots
Tomatoes
title Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T08%3A02%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cutting%20Point%20Detection%20Using%20a%20Robot%20with%20Point%20Clouds%20for%20Tomato%20Harvesting&rft.jtitle=Journal%20of%20robotics%20and%20mechatronics&rft.au=Yoshida,%20Takeshi&rft.aucorp=Denso%20Corporation%201-1%20Syowa-cho,%20Kariya,%20Aichi%20448-8661,%20Japan&rft.date=2020-04-20&rft.volume=32&rft.issue=2&rft.spage=437&rft.epage=444&rft.pages=437-444&rft.issn=0915-3942&rft.eissn=1883-8049&rft_id=info:doi/10.20965/jrm.2020.p0437&rft_dat=%3Cproquest_cross%3E2460072220%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2460072220&rft_id=info:pmid/&rfr_iscdi=true