{"id":"https://openalex.org/W4398233288","doi":"https://doi.org/10.3390/bdcc8060052","title":"Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module","display_name":"Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4398233288","doi":"https://doi.org/10.3390/bdcc8060052"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc8060052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8060052","pdf_url":"https://www.mdpi.com/2504-2289/8/6/52/pdf?version=1716456899","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/8/6/52/pdf?version=1716456899","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048071936","display_name":"Petra Rado\u010daj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Petra Rado\u010daj","raw_affiliation_strings":["Layer d.o.o., Vukovarska cesta 31, 31000 Osijek, Croatia"],"affiliations":[{"raw_affiliation_string":"Layer d.o.o., Vukovarska cesta 31, 31000 Osijek, Croatia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065812025","display_name":"Dorijan Rado\u010daj","orcid":"https://orcid.org/0000-0002-7151-7862"},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Dorijan Rado\u010daj","raw_affiliation_strings":["Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Agrobiotechnical Sciences Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga 1, 31000 Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037709440","display_name":"Goran Martinovi\u0107","orcid":"https://orcid.org/0000-0002-7469-6018"},"institutions":[{"id":"https://openalex.org/I51314090","display_name":"University of Osijek","ror":"https://ror.org/05sw4wc49","country_code":"HR","type":"education","lineage":["https://openalex.org/I51314090"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Goran Martinovi\u0107","raw_affiliation_strings":["Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2B, 31000 Osijek, Croatia","institution_ids":["https://openalex.org/I51314090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065812025"],"corresponding_institution_ids":["https://openalex.org/I51314090"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":10.3242,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.98098788,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"52","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9574000239372253,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9168000221252441,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6435651183128357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5948381423950195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5442890524864197},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49796533584594727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4243260324001312}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6435651183128357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5948381423950195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5442890524864197},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49796533584594727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4243260324001312}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc8060052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8060052","pdf_url":"https://www.mdpi.com/2504-2289/8/6/52/pdf?version=1716456899","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:33cc45a698e7441fa2ebbac092d2c68f","is_oa":true,"landing_page_url":"https://doaj.org/article/33cc45a698e7441fa2ebbac092d2c68f","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":"Big Data and Cognitive Computing, Vol 8, Iss 6, p 52 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc8060052","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8060052","pdf_url":"https://www.mdpi.com/2504-2289/8/6/52/pdf?version=1716456899","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4398233288.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2612844455","https://openalex.org/W2735962203","https://openalex.org/W2799848215","https://openalex.org/W2887902433","https://openalex.org/W2897795150","https://openalex.org/W2913420830","https://openalex.org/W2914829423","https://openalex.org/W2940754054","https://openalex.org/W2943314924","https://openalex.org/W2957796808","https://openalex.org/W2972818365","https://openalex.org/W2981186177","https://openalex.org/W3005426330","https://openalex.org/W3010398094","https://openalex.org/W3015562698","https://openalex.org/W3081995103","https://openalex.org/W3089559094","https://openalex.org/W3100931193","https://openalex.org/W3111432325","https://openalex.org/W3125103848","https://openalex.org/W3128625235","https://openalex.org/W3130071898","https://openalex.org/W3138304056","https://openalex.org/W3140854437","https://openalex.org/W3158527823","https://openalex.org/W3160605082","https://openalex.org/W3162178246","https://openalex.org/W3172921217","https://openalex.org/W3184263161","https://openalex.org/W3185377372","https://openalex.org/W3186111258","https://openalex.org/W3198844493","https://openalex.org/W3204243169","https://openalex.org/W3206824631","https://openalex.org/W3207672482","https://openalex.org/W3209845747","https://openalex.org/W3210165781","https://openalex.org/W4200166934","https://openalex.org/W4210877378","https://openalex.org/W4211104264","https://openalex.org/W4224085183","https://openalex.org/W4232440350","https://openalex.org/W4282974753","https://openalex.org/W4291197252","https://openalex.org/W4295854770","https://openalex.org/W4303958966","https://openalex.org/W4308391678","https://openalex.org/W4309708457","https://openalex.org/W4310528528","https://openalex.org/W4313515579","https://openalex.org/W4313570172","https://openalex.org/W4313594955","https://openalex.org/W4317384003","https://openalex.org/W4317733169","https://openalex.org/W4353042442","https://openalex.org/W4387824693","https://openalex.org/W4388797016","https://openalex.org/W6750774442","https://openalex.org/W6797791624","https://openalex.org/W6803739019","https://openalex.org/W6850566403","https://openalex.org/W6857628545"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4285208911"],"abstract_inverted_index":{"Due":[0],"to":[1,21,44,50,174],"the":[2,62,90,113,118,120,140,160,168,185],"projected":[3],"increase":[4],"in":[5,10,172,184],"food":[6,25],"production":[7],"by":[8,139,165],"70%":[9],"2050,":[11],"crops":[12],"should":[13],"be":[14],"additionally":[15],"protected":[16],"from":[17],"diseases":[18],"and":[19,42,68,109],"pests":[20],"ensure":[22],"a":[23,32,57,73,104,192],"sufficient":[24],"supply.":[26],"Transfer":[27],"deep":[28,76],"learning":[29,86],"approaches":[30,94],"provide":[31],"more":[33],"efficient":[34],"solution":[35],"than":[36],"traditional":[37],"methods,":[38],"which":[39,144],"are":[40],"labor-intensive":[41],"struggle":[43],"effectively":[45],"monitor":[46],"large":[47],"areas,":[48],"leading":[49],"delayed":[51],"disease":[52,97,197],"detection.":[53,198],"This":[54],"study":[55],"proposed":[56,114,169,178],"versatile":[58],"module":[59,148,171,180],"based":[60],"on":[61],"Inception":[63],"module,":[64],"Mish":[65],"activation":[66],"function,":[67],"Batch":[69],"normalization":[70],"(IncMB)":[71],"as":[72,89],"part":[74],"of":[75,128,152,157,188],"neural":[77,81],"networks.":[78],"A":[79],"convolutional":[80],"network":[82],"(CNN)":[83],"with":[84,103,112,149],"transfer":[85],"was":[87,124,163],"used":[88],"base":[91],"for":[92,95,194],"evaluated":[93,175],"tomato":[96,131],"detection:":[98],"(1)":[99],"CNNs,":[100],"(2)":[101],"CNNs":[102,111],"support":[105],"vector":[106],"machine":[107],"(SVM),":[108],"(3)":[110],"IncMB":[115,147,170,179],"module.":[116],"In":[117,154],"experiment,":[119],"public":[121],"dataset":[122],"PlantVillage":[123],"used,":[125],"containing":[126,167],"images":[127],"six":[129],"different":[130],"leaf":[132,196],"diseases.":[133],"The":[134,177],"best":[135],"results":[136],"were":[137],"achieved":[138,164],"pre-trained":[141],"InceptionV3":[142],"network,":[143],"contains":[145],"an":[146,150,182],"accuracy":[151,162],"97.78%.":[153],"three":[155],"out":[156],"four":[158],"cases,":[159],"highest":[161],"networks":[166],"comparison":[173],"CNNs.":[176],"represented":[181],"improvement":[183],"early":[186],"detection":[187],"plant":[189],"diseases,":[190],"providing":[191],"basis":[193],"timely":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}