{"id":"https://openalex.org/W3172695541","doi":"https://doi.org/10.1109/indin45582.2020.9442151","title":"Efficient Plant Diseases Recognition based on Modified Residual Neural Network and Transfer Learning","display_name":"Efficient Plant Diseases Recognition based on Modified Residual Neural Network and Transfer Learning","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3172695541","doi":"https://doi.org/10.1109/indin45582.2020.9442151","mag":"3172695541"},"language":"en","primary_location":{"id":"doi:10.1109/indin45582.2020.9442151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","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/A5102836500","display_name":"Chuanlei Zhang","orcid":"https://orcid.org/0000-0002-2053-2755"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuanlei Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013038770","display_name":"Dashuo Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dashuo Wu","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010242765","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0002-9896-1656"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Tianjin University of Science&technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin University of Science&technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007483551","display_name":"Jucheng Yang","orcid":"https://orcid.org/0000-0002-5046-2663"},"institutions":[{"id":"https://openalex.org/I132369690","display_name":"Tianjin University of Science and Technology","ror":"https://ror.org/018rbtf37","country_code":"CN","type":"education","lineage":["https://openalex.org/I132369690"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jucheng Yang","raw_affiliation_strings":["College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Tianjin University of Science&technology, Tianjin, China","institution_ids":["https://openalex.org/I132369690"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102836500"],"corresponding_institution_ids":["https://openalex.org/I132369690"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13701975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9990000128746033,"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":0.9990000128746033,"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/T14042","display_name":"Technology and Security Systems","score":0.9024999737739563,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8645534515380859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7760024070739746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7607312202453613},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7600864171981812},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.745076060295105},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6514638066291809},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.5988218188285828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5652567744255066},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5430440902709961},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48547127842903137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4790269434452057},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43476757407188416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11632058024406433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09835439920425415}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8645534515380859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760024070739746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7607312202453613},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7600864171981812},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.745076060295105},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6514638066291809},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.5988218188285828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5652567744255066},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5430440902709961},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48547127842903137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4790269434452057},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43476757407188416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11632058024406433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09835439920425415},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin45582.2020.9442151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin45582.2020.9442151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 18th International Conference on Industrial Informatics (INDIN)","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":21,"referenced_works":["https://openalex.org/W2019610851","https://openalex.org/W2085300055","https://openalex.org/W2163605009","https://openalex.org/W2302255633","https://openalex.org/W2339460098","https://openalex.org/W2473156356","https://openalex.org/W2520364485","https://openalex.org/W2583568376","https://openalex.org/W2585286277","https://openalex.org/W2604194943","https://openalex.org/W2622826443","https://openalex.org/W2760244101","https://openalex.org/W2762685704","https://openalex.org/W2776705292","https://openalex.org/W2784272016","https://openalex.org/W2810270273","https://openalex.org/W2884367402","https://openalex.org/W2913747979","https://openalex.org/W3098900881","https://openalex.org/W6684191040","https://openalex.org/W6736512164"],"related_works":["https://openalex.org/W3196952692","https://openalex.org/W2984708981","https://openalex.org/W2755231872","https://openalex.org/W4300939921","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W4205117943","https://openalex.org/W4383097772","https://openalex.org/W3192840557","https://openalex.org/W2951211570"],"abstract_inverted_index":{"Efficient":[0],"and":[1,23,52,112,143],"accurate":[2],"recognition":[3,40,84],"of":[4,145],"plant":[5,17,38],"diseases":[6],"based":[7,44],"on":[8,45,74],"leaf":[9,19],"images":[10,20],"is":[11,26,42,69,87,102],"a":[12,36,46,133],"hot":[13],"research":[14],"topic.":[15],"The":[16,71,115],"diseased":[18],"are":[21],"complex":[22],"diverse.":[24],"It":[25],"generally":[27],"difficult":[28],"to":[29],"extract":[30],"reliable":[31],"features.":[32],"In":[33],"this":[34],"paper,":[35],"new":[37],"disease":[39],"method":[41,122],"proposed,":[43],"Modified":[47],"Residual":[48],"Neural":[49],"Network":[50],"(MRNN)":[51],"transfer":[53,105],"learning.":[54],"Compared":[55],"with":[56,95,104],"the":[57,63,75,96,100,109,120,141,146],"classical":[58],"residual":[59,64],"neural":[60],"network":[61],"ResNet-50,":[62],"block":[65],"structure":[66],"in":[67,128,136],"MRNN":[68,80,101],"modified.":[70],"experiment":[72],"results":[73,117],"AI":[76],"Challenger":[77],"dataset":[78],"show":[79,118],"can":[81],"achieve":[82],"91.4%":[83],"accuracy":[85],"which":[86,107,139],"higher":[88],"than":[89],"other":[90],"classic":[91],"CNN":[92],"models.":[93],"Combined":[94],"Kaggle":[97],"Cassava":[98],"dataset,":[99],"trained":[103],"learning,":[106],"improves":[108],"accuracy,":[110,129],"robustness":[111],"generalization":[113],"ability.":[114],"experiments":[116],"that":[119],"proposed":[121,147],"not":[123],"only":[124],"has":[125,132],"an":[126],"advantage":[127],"but":[130],"also":[131],"significant":[134],"improvement":[135],"training":[137],"speed,":[138],"validates":[140],"efficiency":[142],"effectiveness":[144],"approach.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}