{"id":"https://openalex.org/W4296292763","doi":"https://doi.org/10.1142/s0218213022500403","title":"Improving Rice Disease Diagnosis Using Ensemble Transfer Learning Techniques","display_name":"Improving Rice Disease Diagnosis Using Ensemble Transfer Learning Techniques","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296292763","doi":"https://doi.org/10.1142/s0218213022500403"},"language":"en","primary_location":{"id":"doi:10.1142/s0218213022500403","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500403","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/A5069760713","display_name":"Mayuri Sharma","orcid":"https://orcid.org/0000-0003-3282-2765"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mayuri Sharma","raw_affiliation_strings":["Computer Science & Engineering, Assam Royal Global University, Guwahati, Assam 781035, India"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Assam Royal Global University, Guwahati, Assam 781035, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104089103","display_name":"Chandan Jyoti Kumar","orcid":"https://orcid.org/0000-0003-3160-9217"},"institutions":[{"id":"https://openalex.org/I4210102512","display_name":"Cotton University","ror":"https://ror.org/019ehh677","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210102512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandan Jyoti Kumar","raw_affiliation_strings":["Computer Science & Information Technology, Cotton University Guwahati, Assam 781001, India"],"affiliations":[{"raw_affiliation_string":"Computer Science & Information Technology, Cotton University Guwahati, Assam 781001, India","institution_ids":["https://openalex.org/I4210102512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069760713"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8382,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.94591113,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"31","issue":"08","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9980000257492065,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.8786801099777222},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.8091690540313721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7025270462036133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6544309258460999},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6000805497169495},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5849099159240723},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4963708519935608},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4866657853126526},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4740737974643707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3666384816169739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8786801099777222},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8091690540313721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7025270462036133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6544309258460999},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6000805497169495},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5849099159240723},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4963708519935608},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4866657853126526},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4740737974643707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3666384816169739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218213022500403","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213022500403","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Artificial Intelligence Tools","raw_type":"journal-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/W3192840557","https://openalex.org/W3091976719","https://openalex.org/W4312417841","https://openalex.org/W3018421652","https://openalex.org/W4321369474","https://openalex.org/W4220996320","https://openalex.org/W4312200629","https://openalex.org/W4285149559","https://openalex.org/W3021430260","https://openalex.org/W4382286161"],"abstract_inverted_index":{"Early":[0],"diagnosis":[1,88,110],"of":[2,23,67,89,108,113,127,140,147,162],"the":[3,8,19,41,59,87,106,109,128,148,163,171],"disease":[4,26],"in":[5,16,44,62,100,121,168],"crop":[6],"opens":[7],"door":[9],"to":[10,40,153],"potential":[11],"care":[12],"and":[13,82,102,133],"treatment,":[14],"which":[15,96],"turn":[17],"improves":[18],"yield.":[20],"Automated":[21],"detection":[22],"rice":[24,90],"plant":[25,28,91],"from":[27,46],"images":[29],"is":[30,36,135,143],"an":[31],"emerging":[32],"research":[33,60],"field":[34],"that":[35,145,160],"gaining":[37],"prominence":[38],"due":[39],"rising":[42],"interest":[43],"it":[45],"machine":[47],"learning":[48,53,73,173],"researchers.":[49],"Convolution":[50],"neural":[51],"network-based":[52],"techniques":[54],"are":[55,84,97,131,151,166],"widely":[56],"used":[57,85],"by":[58],"community":[61],"accurately":[63],"handling":[64],"these":[65],"types":[66],"tasks.":[68],"In":[69],"current":[70],"study,":[71],"transfer":[72],"models":[74,117,130,150,165],"like":[75,175],"InceptionV3,":[76],"ResNet152V2,":[77],"MobileNetV2,":[78],"Xception,":[79],"DenseNet201,":[80],"InceptionResNetV2":[81],"VGG19":[83],"for":[86],"diseases":[92],"on":[93],"two":[94],"datasets,":[95],"publicly":[98],"available":[99],"Mendeley":[101],"Kaggle.":[103],"To":[104],"improve":[105],"performance":[107,169],"system,":[111],"ensembling":[112],"Transfer":[114],"Learning":[115],"(TL)":[116],"has":[118],"been":[119],"introduced":[120],"this":[122],"work.":[123],"All":[124],"possible":[125],"combinations":[126],"TL":[129,155],"designed":[132],"experiment":[134],"carried":[136],"out":[137],"using":[138],"all":[139],"them.":[141],"It":[142],"observed":[144],"most":[146],"ensembled":[149],"superior":[152,167],"individual":[154],"models.":[156],"The":[157],"work":[158],"demonstrates":[159],"some":[161],"ensemble":[164],"than":[170],"advanced":[172],"model":[174],"Convolution-XGBoost.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
