{"id":"https://openalex.org/W3091984731","doi":"https://doi.org/10.1007/978-3-030-59830-3_19","title":"A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background","display_name":"A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3091984731","doi":"https://doi.org/10.1007/978-3-030-59830-3_19","mag":"3091984731"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-59830-3_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-59830-3_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/401479","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100337548","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-1728-4076"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1728-4076","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5822-8233","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Brisbane, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng-yuan Xu","orcid":"https://orcid.org/0000-0002-1091-9091"},"institutions":[{"id":"https://openalex.org/I74899385","display_name":"Central Queensland University","ror":"https://ror.org/023q4bk22","country_code":"AU","type":"education","lineage":["https://openalex.org/I74899385"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Cheng-yuan Xu","raw_affiliation_strings":["School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1091-9091","affiliations":[{"raw_affiliation_string":"School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia","institution_ids":["https://openalex.org/I74899385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101790836","display_name":"Xiao Bai","orcid":"https://orcid.org/0000-0001-8561-9299"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8561-9299","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.3879,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63602402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"218","last_page":"227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"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":0.9991000294685364,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12894","display_name":"Date Palm Research Studies","score":0.9577999711036682,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/orchard","display_name":"Orchard","score":0.8377187848091125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276926040649414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6517532467842102},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6344685554504395},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6258144378662109},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4294235408306122},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4216260313987732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32540225982666016},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.29003676772117615},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06574895977973938}],"concepts":[{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.8377187848091125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276926040649414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517532467842102},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6344685554504395},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6258144378662109},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4294235408306122},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4216260313987732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32540225982666016},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.29003676772117615},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06574895977973938}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-59830-3_19","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-59830-3_19","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/401479","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/401479","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/401479","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/401479","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1733950307","https://openalex.org/W1861492603","https://openalex.org/W1980180011","https://openalex.org/W2036730396","https://openalex.org/W2075749116","https://openalex.org/W2075912645","https://openalex.org/W2098976163","https://openalex.org/W2193145675","https://openalex.org/W2396098103","https://openalex.org/W2501369945","https://openalex.org/W2543665758","https://openalex.org/W2599837009","https://openalex.org/W2600632079","https://openalex.org/W2611227133","https://openalex.org/W2767026787","https://openalex.org/W2804118216","https://openalex.org/W2898682679","https://openalex.org/W2953106684","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2964837208","https://openalex.org/W2970971581","https://openalex.org/W2975405856","https://openalex.org/W2981496068","https://openalex.org/W3106250896"],"related_works":["https://openalex.org/W2114275278","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W1489511283","https://openalex.org/W2974914859","https://openalex.org/W2026565050","https://openalex.org/W2110244802","https://openalex.org/W2163728705","https://openalex.org/W949345935","https://openalex.org/W2109550041"],"abstract_inverted_index":{"Natural":[0],"initiation":[1],"of":[2,17,111,116],"pineapple":[3,22,41,71,87],"flowers":[4,42],"is":[5,25,35],"not":[6],"synchronized,":[7],"which":[8],"yields":[9],"difficulties":[10],"in":[11,46],"yield":[12],"prediction":[13],"and":[14,43,62,73,93,113],"the":[15,52],"decision":[16],"harvest.":[18],"Computer":[19],"vision":[20],"based":[21],"detection":[23,81,106],"system":[24],"an":[26,68,109],"automated":[27],"solution":[28],"to":[29,97],"address":[30],"this":[31],"issue.":[32],"However,":[33],"it":[34],"faced":[36],"with":[37,108],"significant":[38],"challenges,":[39],"e.g.":[40],"fruits":[44],"vary":[45],"size":[47],"at":[48],"different":[49,91],"growing":[50],"stages,":[51],"images":[53,85],"are":[54],"influenced":[55],"by":[56],"camera":[57],"viewpoint,":[58],"illumination":[59],"conditions,":[60],"occlusion":[61],"so":[63],"on.":[64],"This":[65],"paper":[66],"presents":[67],"approach":[69],"for":[70],"fruit":[72],"flower":[74],"recognition":[75],"using":[76,89],"a":[77,99],"state-of-the-art":[78],"deep":[79],"object":[80],"model.":[82],"We":[83],"collected":[84],"from":[86],"orchard":[88],"three":[90],"cameras":[92],"selected":[94],"suitable":[95],"ones":[96],"create":[98],"dataset.":[100],"The":[101],"experimental":[102],"results":[103],"show":[104],"promising":[105],"performance,":[107],"mAP":[110],"0.64":[112],"\\(F_1\\)":[114],"score":[115],"0.69.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}