{"id":"https://openalex.org/W4205572179","doi":"https://doi.org/10.1145/3484824.3484893","title":"Citrus Fruits Diseases Detection and Classification Using Transfer Learning","display_name":"Citrus Fruits Diseases Detection and Classification Using Transfer Learning","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4205572179","doi":"https://doi.org/10.1145/3484824.3484893"},"language":"en","primary_location":{"id":"doi:10.1145/3484824.3484893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","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/A5050046126","display_name":"Ashok Kumar Saini","orcid":"https://orcid.org/0000-0003-2699-9134"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashok Kumar Saini","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, Jaipur Rajasthan India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, Jaipur Rajasthan India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059313873","display_name":"Roheet Bhatnagar","orcid":"https://orcid.org/0000-0001-9098-3378"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Roheet Bhatnagar","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, Jaipur Rajasthan India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, Jaipur Rajasthan India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038205506","display_name":"Devesh Kumar Srivastava","orcid":"https://orcid.org/0000-0002-7400-8641"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Devesh Kumar Srivastava","raw_affiliation_strings":["Department of IT, Manipal University Jaipur, Jaipur Rajasthan India"],"affiliations":[{"raw_affiliation_string":"Department of IT, Manipal University Jaipur, Jaipur Rajasthan India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050046126"],"corresponding_institution_ids":["https://openalex.org/I73779912"],"apc_list":null,"apc_paid":null,"fwci":1.5319,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85095175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"283"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9739999771118164,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9462000131607056,"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":0.8049536347389221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7517387866973877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063241600990295},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6994760036468506},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6907238960266113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.646623432636261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3488647937774658}],"concepts":[{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.8049536347389221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7517387866973877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063241600990295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6994760036468506},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6907238960266113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.646623432636261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3488647937774658}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3484824.3484893","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1982263770","https://openalex.org/W2117539524","https://openalex.org/W2124664712","https://openalex.org/W2561873278","https://openalex.org/W2617358776","https://openalex.org/W2751829817","https://openalex.org/W2790979755","https://openalex.org/W2808709127","https://openalex.org/W2891667148","https://openalex.org/W2928842276","https://openalex.org/W2949749214","https://openalex.org/W2966533690","https://openalex.org/W3010225408","https://openalex.org/W3015562698","https://openalex.org/W3026623411","https://openalex.org/W3093815240","https://openalex.org/W3109852393","https://openalex.org/W6686164453","https://openalex.org/W6758816456","https://openalex.org/W6766801580","https://openalex.org/W6770752499"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Diseases":[0],"in":[1,32],"plants":[2],"have":[3,47],"a":[4,87,117],"devastating":[5],"effect":[6],"on":[7,116,144],"food":[8],"protection":[9],"and":[10,16,39,75,101,110],"may":[11,26],"significantly":[12],"reduce":[13],"the":[14,28,61,153],"worth":[15],"amount":[17],"of":[18,65,134],"farming":[19],"products.":[20],"In":[21,84],"extreme":[22],"circumstances,":[23],"plant":[24,36],"illnesses":[25],"destroy":[27],"entire":[29],"crop.":[30],"Thus,":[31],"agriculture,":[33],"an":[34],"automated":[35],"disease":[37],"detection":[38],"diagnosis":[40],"system":[41],"are":[42,113],"widely":[43],"needed.":[44],"Many":[45],"approaches":[46],"been":[48,60],"suggested":[49],"to":[50,73,122],"solve":[51],"this":[52,85],"problem":[53],"till":[54],"now,":[55],"but":[56],"deep":[57,95],"learning":[58,163],"has":[59],"preferred":[62],"solution":[63],"because":[64],"its":[66],"outstanding":[67],"results.":[68],"Electronic":[69],"apparatus":[70],"is":[71,91,128],"used":[72,94,121,129],"recognize":[74],"even":[76],"monitor":[77],"crop":[78],"diseases":[79],"rather":[80],"than":[81],"manual":[82],"observation.":[83],"paper,":[86],"transfer":[88,162],"learning-based":[89],"model":[90,115],"proposed,":[92],"which":[93],"convolutional":[96],"neural":[97],"networks":[98],"for":[99,130,141],"identifying":[100],"classifying":[102],"citrus":[103],"fruits":[104],"diseases.":[105],"The":[106],"InceptionV3,":[107],"ResNet50,":[108],"VGG16":[109],"VGG19":[111,151],"models":[112],"pre-trained":[114],"large":[118],"dataset":[119],"(ImageNet)":[120],"improve":[123],"prediction":[124,166],"accuracy.":[125],"Data":[126],"augmentation":[127],"getting":[131],"better":[132,165],"accuracy":[133,143],"classification.":[135],"We":[136],"collected":[137],"various":[138],"performance":[139],"parameters":[140],"comparing":[142],"our":[145],"dataset;":[146],"Our":[147,157],"results":[148,159],"show":[149,160],"that":[150,161],"got":[152],"highest":[154],"accuracy,":[155],"99.89%.":[156],"experimental":[158],"provides":[164],"with":[167],"minimal":[168],"computational":[169],"resources.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
