{"id":"https://openalex.org/W4387608634","doi":"https://doi.org/10.15439/2023f4794","title":"Efficient Deep Learning Approach for Olive Disease Classification","display_name":"Efficient Deep Learning Approach for Olive Disease Classification","publication_year":2023,"publication_date":"2023-09-26","ids":{"openalex":"https://openalex.org/W4387608634","doi":"https://doi.org/10.15439/2023f4794"},"language":"en","primary_location":{"id":"doi:10.15439/2023f4794","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f4794","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/4794.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2023/drp/pdf/4794.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053047873","display_name":"Antonio Bruno","orcid":"https://orcid.org/0000-0002-9152-8112"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonio Bruno","raw_affiliation_strings":["Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034707626","display_name":"Davide Moroni","orcid":"https://orcid.org/0000-0002-5175-5126"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Moroni","raw_affiliation_strings":["Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001199533","display_name":"Massimo Martinelli","orcid":"https://orcid.org/0000-0001-7419-5099"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"funder","lineage":["https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Martinelli","raw_affiliation_strings":["Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science and Technologies National Research Council Via Moruzzi 1, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053047873"],"corresponding_institution_ids":["https://openalex.org/I122991210","https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":3.871,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97183099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"35","issue":null,"first_page":"889","last_page":"894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9887999892234802,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6163464784622192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5468128323554993},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.501093864440918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3520379662513733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33720993995666504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6163464784622192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5468128323554993},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.501093864440918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3520379662513733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33720993995666504}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15439/2023f4794","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f4794","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/4794.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:dnet:people______::e1bbebc449809dbf457f410943d50a70","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ANNALS OF COMPUTER SCIENCE AND INFORMATION SYSTEMS, pp. 889-894. Warsaw, Poland, 17-20/9/2023","raw_type":"Conference article"},{"id":"pmh:oai:doaj.org/article:f45221c8b7d74125a15dd6f91ade20be","is_oa":true,"landing_page_url":"https://doaj.org/article/f45221c8b7d74125a15dd6f91ade20be","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 35, Pp 889-894 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2023f4794","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2023f4794","pdf_url":"https://annals-csis.org/proceedings/2023/drp/pdf/4794.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387608634.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2022228444","https://openalex.org/W2100805904","https://openalex.org/W2108598243","https://openalex.org/W2395579298","https://openalex.org/W2558292192","https://openalex.org/W2751390451","https://openalex.org/W2888615454","https://openalex.org/W2946948417","https://openalex.org/W2950095015","https://openalex.org/W2955425717","https://openalex.org/W2960044247","https://openalex.org/W3017235523","https://openalex.org/W3024880312","https://openalex.org/W3029813633","https://openalex.org/W3046725353","https://openalex.org/W3091401866","https://openalex.org/W3092862347","https://openalex.org/W3094502228","https://openalex.org/W3165319944","https://openalex.org/W4214493665","https://openalex.org/W4220954818","https://openalex.org/W4283012801","https://openalex.org/W4287203292","https://openalex.org/W4287640649","https://openalex.org/W4287646898","https://openalex.org/W4289132436","https://openalex.org/W4296113127","https://openalex.org/W4372284111","https://openalex.org/W4382866844","https://openalex.org/W4385245566","https://openalex.org/W4386242137","https://openalex.org/W6739901393","https://openalex.org/W6791943378","https://openalex.org/W6794559225"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"From":[0],"ancient":[1],"times":[2],"olive":[3,90],"tree":[4],"cultivation":[5],"has":[6],"been":[7],"one":[8],"of":[9,23,35,98,117,120,125],"the":[10,21,104,118,123],"most":[11],"crucial":[12],"agricultural":[13,46],"activities":[14],"for":[15,55,89,161],"Mediterranean":[16],"countries.":[17],"In":[18,82],"recent":[19],"years,":[20],"role":[22],"Artificial":[24],"Intelligence":[25],"in":[26,115,143],"agriculture":[27],"is":[28,87,138,154],"increasing:":[29],"its":[30,150],"use":[31],"ranges":[32],"from":[33],"monitoring":[34],"cultivated":[36],"soil,":[37],"to":[38,41,44,48,149],"irrigation":[39],"management,":[40,54],"yield":[42],"prediction,":[43],"autonomous":[45],"robots,":[47],"weed":[49],"and":[50,53,70,76,122,134],"pest":[51],"classification":[52],"example,":[56],"by":[57,112,132],"taking":[58],"pictures":[59],"using":[60],"a":[61,85,108,139,146,158],"standard":[62],"smartphone":[63,159],"or":[64],"an":[65,95],"unmanned":[66],"aerial":[67],"vehicle":[68],",":[69],"all":[71],"this":[72,83,152],"eases":[73],"human":[74],"work":[75],"makes":[77],"it":[78],"even":[79],"more":[80],"accessible.":[81],"work,":[84],"method":[86,128,153],"proposed":[88],"disease":[91],"classification,":[92],"based":[93],"on":[94,107],"adaptive":[96],"ensemble":[97],"two":[99],"EfficientNet-b0":[100],"models,":[101],"that":[102,137],"improves":[103],"state-of-the-art":[105],"accuracy":[106],"publicly":[109],"available":[110],"dataset":[111],"1.6-2.6%.":[113],"Both":[114],"terms":[116],"number":[119,124],"parameters":[121],"operations,":[126],"our":[127],"reduces":[129],"complexity":[130],"roughly":[131],"50%":[133],"80%,":[135],"respectively,":[136],"level":[140],"not":[141],"seen":[142],"at":[144],"least":[145],"decade.":[147],"Due":[148],"efficiency,":[151],"also":[155],"embeddable":[156],"into":[157],"application":[160],"real-time":[162],"processing.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-02T08:37:19.008085","created_date":"2025-10-10T00:00:00"}