{"id":"https://openalex.org/W3094435658","doi":"https://doi.org/10.1109/icccnt49239.2020.9225337","title":"\u201cAlgorithmic Comparative Classification Approach for Defect Detection of Pyrus Malus","display_name":"\u201cAlgorithmic Comparative Classification Approach for Defect Detection of Pyrus Malus","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094435658","doi":"https://doi.org/10.1109/icccnt49239.2020.9225337","mag":"3094435658"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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/A5048748495","display_name":"Pooja Sainath Jadhav","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pooja Sainath Jadhav","raw_affiliation_strings":["Ramrao Adik Institute Of Technology Nerul, New Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Ramrao Adik Institute Of Technology Nerul, New Mumbai, India","institution_ids":["https://openalex.org/I4210145126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042829049","display_name":"Gargi Phadke","orcid":"https://orcid.org/0000-0002-7325-1594"},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gargi S. Phadke","raw_affiliation_strings":["Ramrao Adik Institute Of Technology Nerul, New Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Ramrao Adik Institute Of Technology Nerul, New Mumbai, India","institution_ids":["https://openalex.org/I4210145126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048748495"],"corresponding_institution_ids":["https://openalex.org/I4210145126"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11413311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9966999888420105,"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":0.9966999888420105,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9769999980926514,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9345999956130981,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73145592212677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7114154100418091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.666205883026123},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5532492995262146},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5378640294075012},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4620394706726074},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.43280187249183655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22575581073760986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73145592212677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7114154100418091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.666205883026123},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5532492995262146},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5378640294075012},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4620394706726074},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.43280187249183655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22575581073760986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1980623462","https://openalex.org/W1994957479","https://openalex.org/W2061235149","https://openalex.org/W2074699874","https://openalex.org/W2082694303","https://openalex.org/W2121318579","https://openalex.org/W2131375706","https://openalex.org/W2145256113","https://openalex.org/W2156859150","https://openalex.org/W2182856367","https://openalex.org/W2253253633","https://openalex.org/W2344225296","https://openalex.org/W2400627713","https://openalex.org/W2537675307","https://openalex.org/W2541216820","https://openalex.org/W2544103107","https://openalex.org/W2546512698","https://openalex.org/W2577303782","https://openalex.org/W2778955803","https://openalex.org/W2798479965","https://openalex.org/W2800792508","https://openalex.org/W2847437472","https://openalex.org/W4232038964","https://openalex.org/W4285719527","https://openalex.org/W6686058371","https://openalex.org/W6712633208"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W148178222","https://openalex.org/W2537489131","https://openalex.org/W2005234362","https://openalex.org/W1997235926","https://openalex.org/W2546503577"],"abstract_inverted_index":{"Pyrus":[0],"Malus":[1],"is":[2,50,59,181],"the":[3,11,36,64,89],"scientific":[4],"name":[5],"of":[6,23,27,38,91,169],"Apple":[7],"fruit.":[8],"In":[9,125],"Agro-Science,":[10],"images":[12,86,159],"plays":[13],"a":[14,20,51,60,74,135],"vital":[15],"role":[16],"and":[17,40,56,71,93,156,201],"acts":[18],"as":[19,116,198],"significant":[21],"root":[22],"information.":[24],"Various":[25],"varieties":[26],"fruits":[28],"are":[29],"available":[30],"in":[31],"India":[32],"which":[33,180,187],"contains":[34],"both":[35,88],"combinations":[37],"Diseased":[39],"healthy":[41],"fruits.":[42],"Investigate":[43],"biotic":[44],"product":[45],"apparently":[46],"by":[47,157],"mortal":[48],"head":[49],"unvarying":[52],"operation.":[53],"Image":[54],"processing":[55],"Machine":[57],"Vision":[58],"technique":[61,70],"that":[62],"beats":[63],"bygone":[65],"techniques.":[66],"To":[67,185],"mark":[68],"this":[69,80],"come":[72],"with":[73,112],"better":[75],"solution,":[76],"we":[77,107,128,162,175,193],"have":[78,97,108,129,163,176,194],"build":[79],"forecast.":[81],"It":[82],"begins":[83],"from":[84,87,138,151,166],"Reading":[85],"folders":[90],"Mask":[92],"Defective":[94],"apples.":[95],"We":[96],"4":[98],"different":[99],"Classifiers":[100],"to":[101,133],"obtained":[102],"an":[103],"explicit":[104,191],"results.":[105],"Firstly,":[106],"used":[109,130],"KNN":[110],"Classifier":[111],"features":[113,165,174],"techniques":[114],"such":[115,197],"Local":[117],"Binary":[118],"Pattern,":[119],"Gabor":[120],"Wavelet,":[121],"Gray-Level":[122],"Co-occurrence":[123],"Matrix.":[124],"another":[126],"method":[127,188],"Transfer":[131],"Learning":[132],"train":[134],"classification":[136],"model":[137,142],"CNN.":[139],"Here,":[140],"Pre-Trained":[141],"Alexnet":[143],"has":[144],"been":[145],"used.":[146],"By":[147],"feeding":[148,158],"image":[149],"patches":[150],"CNN-Testbase":[152],"folder":[153],"into":[154,160],"CNN":[155],"CNN,":[161],"extracted":[164,173],"fc7":[167],"layer":[168],"Alexnet.":[170],"Using":[171],"these":[172],"trained":[177],"SVM":[178],"Classifier,":[179],"our":[182],"proposed":[183],"method.":[184],"identify":[186],"can":[189],"give":[190],"results,":[192],"plotted":[195],"stats":[196],"Accuracy,":[199],"Specificity":[200],"Sensitivity.":[202]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}