{"id":"https://openalex.org/W4400811209","doi":"https://doi.org/10.1109/isie54533.2024.10595795","title":"A Novel Dataset for Baby Broccoli Identification by using YOLOv8 Model","display_name":"A Novel Dataset for Baby Broccoli Identification by using YOLOv8 Model","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4400811209","doi":"https://doi.org/10.1109/isie54533.2024.10595795"},"language":"en","primary_location":{"id":"doi:10.1109/isie54533.2024.10595795","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie54533.2024.10595795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-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/A5114194011","display_name":"Rizan Mohamed","orcid":"https://orcid.org/0009-0003-7217-7470"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rizan Mohamed","raw_affiliation_strings":["Institute of Innovation Science and Sustainability Federation University,Vic,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Innovation Science and Sustainability Federation University,Vic,Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038632124","display_name":"Gayan Kahandawa","orcid":"https://orcid.org/0000-0003-4926-1239"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gayan Kahandawa Appuhamillage","raw_affiliation_strings":["Federation University,Center for Smart Analytics (CSA),Vic,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federation University,Center for Smart Analytics (CSA),Vic,Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013199739","display_name":"Joarder Kamruzzaman","orcid":"https://orcid.org/0000-0002-3748-0277"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Joarder Kamruzzaman","raw_affiliation_strings":["Federation University,Center for Smart Analytics (CSA),Vic,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federation University,Center for Smart Analytics (CSA),Vic,Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051920398","display_name":"Linh Nguyen","orcid":"https://orcid.org/0000-0001-5360-886X"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Linh Nguyen","raw_affiliation_strings":["Institute of Innovation Science and Sustainability Federation University,Vic,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Innovation Science and Sustainability Federation University,Vic,Australia","institution_ids":["https://openalex.org/I149672521"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149672521"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20356015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.8812999725341797,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13289","display_name":"Infant Health and Development","score":0.8812999725341797,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12222","display_name":"IoT-based Smart Home Systems","score":0.7681999802589417,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7695901393890381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509358882904053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.332408607006073},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.05211588740348816}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7695901393890381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509358882904053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.332408607006073},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.05211588740348816},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isie54533.2024.10595795","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isie54533.2024.10595795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},{"id":"pmh:vital:19743","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/202809","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7599999904632568,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2082006028","https://openalex.org/W2530039282","https://openalex.org/W2534435041","https://openalex.org/W2620819300","https://openalex.org/W2755452373","https://openalex.org/W2761843541","https://openalex.org/W2909919961","https://openalex.org/W2999114706","https://openalex.org/W3017079270","https://openalex.org/W3017478155","https://openalex.org/W3036454250","https://openalex.org/W3126385256","https://openalex.org/W3175851321","https://openalex.org/W3186111258","https://openalex.org/W4210567611","https://openalex.org/W4384030188","https://openalex.org/W6772441340"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"As":[0],"global":[1],"population":[2],"increases,":[3],"the":[4,50,61,70,90,135,156,159,171],"need":[5],"for":[6,11,19,49,107,124],"agricultural":[7],"automation":[8],"becomes":[9],"crucial":[10],"a":[12,64,78,100,118],"stable":[13],"food":[14],"supply.":[15],"An":[16],"autonomous":[17],"mechanism":[18],"picking":[20],"baby":[21,36,54,73,95,163],"broccoli":[22,37,55,74,96,164],"could":[23],"economically":[24],"benefit":[25],"farmers":[26],"and":[27,103,117,127],"society.":[28],"To":[29],"date,":[30],"efforts":[31],"to":[32,149],"develop":[33],"an":[34],"automated":[35,51],"harvesting":[38,97],"solution":[39],"have":[40,111],"been":[41,83],"absent.":[42],"A":[43],"key":[44],"step":[45,92],"in":[46],"automation,":[47],"particularly":[48],"recognition":[52],"of":[53,63,72,134,161],"heads":[56],"through":[57],"computer":[58],"vision,":[59],"involves":[60],"creation":[62],"rich":[65],"dataset":[66,79,102,142,157],"that":[67,137,155,169],"sufficiently":[68],"captures":[69],"characteristics":[71],"heads,":[75],"as":[76],"such":[77],"has":[80],"not":[81],"yet":[82],"collected":[84],"or":[85,176],"published.":[86],"This":[87,151],"paper":[88],"marks":[89],"first":[91],"towards":[93],"automating":[94],"by":[98],"creating":[99],"novel":[101],"testing":[104],"its":[105,125,178],"accuracy":[106],"precise":[108],"identification.":[109],"We":[110],"gathered":[112],"data":[113],"using":[114],"custom":[115],"software":[116],"RealSense":[119],"D435":[120],"Depth":[121],"camera,":[122],"known":[123],"depth":[126],"stereo":[128],"vision":[129],"capabilities.":[130],"The":[131],"initial":[132,152],"results":[133,167],"model":[136,172],"was":[138],"trained":[139],"from":[140,147],"our":[141],"had":[143],"mAP":[144],"values":[145],"ranging":[146],"0.869":[148],"0.942.":[150],"training":[153],"shows":[154,168],"fits":[158],"purpose":[160],"detecting":[162],"heads.":[165],"Further":[166],"when":[170],"is":[173],"97.7%":[174],"confident":[175],"more,":[177],"predictions":[179],"are":[180],"100%":[181],"precise.":[182]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}