{"id":"https://openalex.org/W4403212269","doi":"https://doi.org/10.1109/clei64178.2024.10700174","title":"Apple Detection and Counting Using Neural Networks","display_name":"Apple Detection and Counting Using Neural Networks","publication_year":2024,"publication_date":"2024-08-12","ids":{"openalex":"https://openalex.org/W4403212269","doi":"https://doi.org/10.1109/clei64178.2024.10700174"},"language":"en","primary_location":{"id":"doi:10.1109/clei64178.2024.10700174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei64178.2024.10700174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 L Latin American Computer Conference (CLEI)","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/A5107820865","display_name":"Roxana Garderes","orcid":null},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Roxana Garderes","raw_affiliation_strings":["Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108997765","display_name":"Facundo Guti\u00e9rrez","orcid":null},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Facundo Guti\u00e9rrez","raw_affiliation_strings":["Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034003764","display_name":"Mercedes Marzoa Tanco","orcid":"https://orcid.org/0000-0002-3660-5656"},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Mercedes Marzoa Tanco","raw_affiliation_strings":["Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023864599","display_name":"Gonzalo Tejera","orcid":"https://orcid.org/0000-0003-0373-6200"},"institutions":[{"id":"https://openalex.org/I180910786","display_name":"Universidad de la Rep\u00fablica de Uruguay","ror":"https://ror.org/030bbe882","country_code":"UY","type":"education","lineage":["https://openalex.org/I180910786"]}],"countries":["UY"],"is_corresponding":false,"raw_author_name":"Gonzalo Tejera","raw_affiliation_strings":["Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de la Rep&#x00FA;blica,Facultad de Ingenier&#x00ED;a,Montevideo,Uruguay","institution_ids":["https://openalex.org/I180910786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23327785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6635954976081848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5572314858436584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4841950237751007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635954976081848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5572314858436584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4841950237751007}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei64178.2024.10700174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei64178.2024.10700174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 L Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"It":[0],"is":[1],"important":[2],"to":[3,12,20,130],"estimate":[4],"the":[5,25,86,144,152,167,183],"number":[6],"of":[7,30,66,99,115,137,158,164,169,177,185],"fruits":[8],"which":[9],"are":[10,41],"going":[11],"be":[13],"harvested,":[14],"since":[15],"that":[16,143],"information":[17],"allows":[18],"farmers":[19],"make":[21],"key":[22],"decisions":[23],"regarding":[24],"production,":[26],"distribution":[27],"and":[28,38,46,63,81,89,103,146,160,179],"commercialization":[29],"crops.":[31],"In":[32,162],"this":[33,116,138],"project,":[34],"solutions":[35],"for":[36],"detecting":[37],"counting":[39],"apples":[40],"explored,":[42],"by":[43],"using":[44,69,85],"detection":[45,57],"tracking":[47,77],"algorithms":[48,78],"based":[49,122],"on":[50,123],"neural":[51,54],"networks.":[52],"Four":[53],"network":[55],"object":[56],"models":[58,88,121],"were":[59,83,95,126,149],"trained:":[60],"YOLOv5,":[61],"YOLOv8":[62,147],"two":[64,119],"variants":[65],"Faster":[67],"R-CNN,":[68],"public":[70],"as":[71,73,113],"well":[72],"self-made":[74],"datasets.":[75,92],"Three":[76],"(StrongSort,":[79],"ByteTrack":[80],"OCSort)":[82],"tested":[84],"trained":[87],"labeled":[90],"video":[91],"These":[93],"datasets":[94],"developed":[96,112],"with":[97,106],"recordings":[98,104],"a":[100,107,135,156,174],"real-world":[101],"orchard":[102],"generated":[105],"ROS-based":[108],"apple":[109,165],"field":[110],"simulator,":[111],"part":[114],"project.":[117],"Finally,":[118],"fitting":[120],"linear":[124],"regression":[125],"evaluated":[127],"in":[128,182],"order":[129,184],"minimize":[131],"prediction":[132],"errors.":[133],"As":[134],"conclusion":[136],"research,":[139],"it":[140],"was":[141],"found":[142],"YOLOv5":[145],"performances":[148],"better":[150],"than":[151],"other":[153],"two,":[154],"achieving":[155],"mAP50":[157],"0.87":[159],"0.85.":[161],"terms":[163],"tracking,":[166],"performance":[168],"OCSort":[170],"stands":[171],"out,":[172],"reaching":[173],"HOTA":[175],"metric":[176],"60.24%":[178],"running":[180],"times":[181],"30":[186],"ms.":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
