{"id":"https://openalex.org/W3124624398","doi":"https://doi.org/10.1080/01691864.2021.1873846","title":"Image-based recognition of green perilla leaves using a deep neural network for robotic harvest support","display_name":"Image-based recognition of green perilla leaves using a deep neural network for robotic harvest support","publication_year":2021,"publication_date":"2021-01-21","ids":{"openalex":"https://openalex.org/W3124624398","doi":"https://doi.org/10.1080/01691864.2021.1873846","mag":"3124624398"},"language":"en","primary_location":{"id":"doi:10.1080/01691864.2021.1873846","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2021.1873846","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055946696","display_name":"Hiroaki Masuzawa","orcid":"https://orcid.org/0000-0002-4838-9516"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Masuzawa","raw_affiliation_strings":["Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4838-9516","affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071725508","display_name":"Jun Miura","orcid":"https://orcid.org/0000-0003-0153-2570"},"institutions":[{"id":"https://openalex.org/I136259955","display_name":"Toyohashi University of Technology","ror":"https://ror.org/04ezg6d83","country_code":"JP","type":"education","lineage":["https://openalex.org/I136259955"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"J. Miura","raw_affiliation_strings":["Toyohashi University of Technology, Toyohashi, Aichi, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0153-2570","affiliations":[{"raw_affiliation_string":"Toyohashi University of Technology, Toyohashi, Aichi, Japan","institution_ids":["https://openalex.org/I136259955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055946696"],"corresponding_institution_ids":["https://openalex.org/I136259955"],"apc_list":null,"apc_paid":null,"fwci":1.1083,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81116103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"6","first_page":"359","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11404","display_name":"Irrigation Practices and Water Management","score":0.9609000086784363,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7572248578071594},{"id":"https://openalex.org/keywords/perilla","display_name":"Perilla","score":0.6801064014434814},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6699435114860535},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5481019020080566},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5026681423187256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5004734992980957},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4921194911003113},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45400357246398926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4492008090019226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4457307457923889},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.41227665543556213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3774532675743103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06519529223442078}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7572248578071594},{"id":"https://openalex.org/C2779956635","wikidata":"https://www.wikidata.org/wiki/Q7168518","display_name":"Perilla","level":3,"score":0.6801064014434814},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6699435114860535},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5481019020080566},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5026681423187256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5004734992980957},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4921194911003113},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45400357246398926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4492008090019226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4457307457923889},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.41227665543556213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3774532675743103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06519529223442078},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C206139338","wikidata":"https://www.wikidata.org/wiki/Q192355","display_name":"Raw material","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01691864.2021.1873846","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01691864.2021.1873846","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1149115504","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1966976587","https://openalex.org/W1968896562","https://openalex.org/W2006740014","https://openalex.org/W2052678124","https://openalex.org/W2164626235","https://openalex.org/W2579348194","https://openalex.org/W2613718673","https://openalex.org/W2617703913","https://openalex.org/W2755766995","https://openalex.org/W2809489825","https://openalex.org/W2953106684","https://openalex.org/W2963150697","https://openalex.org/W2963801405","https://openalex.org/W2964096383","https://openalex.org/W4294214983"],"related_works":["https://openalex.org/W2391883005","https://openalex.org/W2360705893","https://openalex.org/W2783837439","https://openalex.org/W1845469788","https://openalex.org/W2322712335","https://openalex.org/W2376384182","https://openalex.org/W744393548","https://openalex.org/W2371458371","https://openalex.org/W4213117749","https://openalex.org/W3206822558"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,11,24,87],"method":[4],"of":[5,116],"recognizing":[6],"green":[7,40],"perilla":[8,41],"leaves":[9,42,64],"using":[10,104],"deep":[12,76],"neural":[13,77],"network":[14,78,88],"for":[15,26,89],"harvest":[16,27],"support":[17],"in":[18],"greenhouse":[19],"horticulture.":[20],"We":[21,98],"are":[22],"developing":[23],"robot":[25,45],"support,":[28],"which":[29],"automates":[30],"the":[31,44,112,117],"selection":[32],"and":[33,57,96,114],"bundling":[34],"process.":[35],"In":[36],"order":[37],"to":[38,47,62],"manipulate":[39],"correctly,":[43],"needs":[46,61],"precisely":[48],"estimate":[49],"their":[50],"geometrical":[51],"parameters":[52],"such":[53],"as":[54],"width,":[55],"height,":[56],"orientation.":[58],"It":[59],"also":[60,99],"detect":[63],"with":[65],"anomalies.":[66],"Therefore,":[67],"we":[68,85],"develop":[69],"an":[70,101],"image-based":[71],"leaf":[72],"recognition":[73],"method,":[74],"adopting":[75],"(DNN)":[79],"techniques.":[80,108],"To":[81],"reduce":[82],"computation":[83],"time,":[84],"design":[86],"executing":[90],"multiple":[91],"tasks":[92],"simultaneously,":[93],"namely,":[94],"segmentation":[95],"classification.":[97],"developed":[100],"annotated":[102],"dataset":[103],"conventional":[105],"image":[106],"processing":[107],"Experimental":[109],"results":[110],"show":[111],"efficiency":[113],"effectiveness":[115],"proposed":[118],"method.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
