{"id":"https://openalex.org/W2339310483","doi":"https://doi.org/10.1504/ijapr.2015.069538","title":"Fruit and vegetable recognition by fusing colour and texture features of the image using machine learning","display_name":"Fruit and vegetable recognition by fusing colour and texture features of the image using machine learning","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2339310483","doi":"https://doi.org/10.1504/ijapr.2015.069538","mag":"2339310483"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijapr.2015.069538","pdf_url":null,"source":{"id":"https://openalex.org/S4210173058","display_name":"International Journal of Applied Pattern Recognition","issn_l":"2049-887X","issn":["2049-887X","2049-8888"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5048082929","display_name":"Shiv Ram Dubey","orcid":"https://orcid.org/0000-0002-4532-8996"},"institutions":[{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiv Ram Dubey","raw_affiliation_strings":["Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India","institution_ids":["https://openalex.org/I82571370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018275217","display_name":"Anand Singh Jalal","orcid":"https://orcid.org/0000-0002-7469-6608"},"institutions":[{"id":"https://openalex.org/I82571370","display_name":"GLA University","ror":"https://ror.org/05fnxgv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I82571370"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anand Singh Jalal","raw_affiliation_strings":["Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering and Applications, GLA University, Mathura, Uttar Pradesh, India","institution_ids":["https://openalex.org/I82571370"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.491,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":40,"citation_normalized_percentile":{"value":0.874745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"160","last_page":"160"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9869,"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":0.9869,"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":0.9503,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9363,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/discriminative-model","display_name":"Discriminative model","score":0.6671339},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.65218127},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48180145}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.78827345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.68544483},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.678396},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6671339},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.65218127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663582},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4967733},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48442534},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48180145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4407511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38952544},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.16968909},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijapr.2015.069538","pdf_url":null,"source":{"id":"https://openalex.org/S4210173058","display_name":"International Journal of Applied Pattern Recognition","issn_l":"2049-887X","issn":["2049-887X","2049-8888"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.66,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1669678558","https://openalex.org/W1682546294","https://openalex.org/W1758770588","https://openalex.org/W1979335658","https://openalex.org/W1985473486","https://openalex.org/W2007318151","https://openalex.org/W2012330712","https://openalex.org/W2015414636","https://openalex.org/W2023073380","https://openalex.org/W2024864886","https://openalex.org/W2030786923","https://openalex.org/W2033769372","https://openalex.org/W2034616918","https://openalex.org/W2039388884","https://openalex.org/W2052535078","https://openalex.org/W2080955644","https://openalex.org/W2091548424","https://openalex.org/W2099013489","https://openalex.org/W2101893854","https://openalex.org/W2103658758","https://openalex.org/W2105568170","https://openalex.org/W2115733720","https://openalex.org/W2117567622","https://openalex.org/W2131081720","https://openalex.org/W2140116088","https://openalex.org/W2140169211","https://openalex.org/W2142140130","https://openalex.org/W2147141800","https://openalex.org/W2147332957","https://openalex.org/W2151259137","https://openalex.org/W2155375404","https://openalex.org/W2158883321","https://openalex.org/W2163352848","https://openalex.org/W2166828762","https://openalex.org/W2168002178","https://openalex.org/W2187427748","https://openalex.org/W2963573796","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W4205463238","https://openalex.org/W3103844505","https://openalex.org/W2981954115","https://openalex.org/W2965546495","https://openalex.org/W259157601","https://openalex.org/W2521627374","https://openalex.org/W2153315159","https://openalex.org/W2110523656","https://openalex.org/W1482209366"],"abstract_inverted_index":{"Efficient":[0],"and":[1,6,29,39,43,47,64,83,99,102,109,122,136,142,145,151],"accurate":[2,140],"recognition":[3,31,144],"of":[4,13,37,58,72,134],"fruits":[5,38],"vegetables":[7,40],"from":[8],"the":[9,14,27,35,120,130],"images":[10,36],"is":[11,89,117],"one":[12],"major":[15],"challenges":[16],"for":[17,26,91,119],"computers.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"introduce":[23],"a":[24],"framework":[25],"fruit":[28,55,141],"vegetable":[30,57,143],"problem":[32],"which":[33],"takes":[34],"as":[41,49],"input":[42,52],"returns":[44],"its":[45],"species":[46],"variety":[48,60],"output.":[50],"The":[51,68,125],"image":[53,87],"contains":[54],"or":[56],"single":[59],"in":[61,65],"arbitrary":[62],"position":[63],"any":[66],"number.":[67],"whole":[69],"process":[70],"consists":[71],"three":[73],"steps:":[74],"1)":[75],"background":[76,92],"subtraction;":[77],"2)":[78],"feature":[79,111],"extraction;":[80],"3)":[81],"training":[82,121],"classification.":[84],"K-means":[85],"clustering-based":[86],"segmentation":[88],"used":[90,118],"subtraction.":[93],"We":[94],"extracted":[95],"different":[96],"state-of-art":[97],"colour":[98,135,150],"texture":[100,137,152],"features":[101,138],"combined":[103],"them":[104],"to":[105],"achieve":[106],"more":[107],"efficient":[108],"discriminative":[110],"description.":[112],"Multi-class":[113],"support":[114],"vector":[115],"machine":[116],"classification":[123],"purpose.":[124],"experimental":[126],"results":[127],"show":[128],"that":[129],"proposed":[131],"combination":[132],"scheme":[133],"supports":[139],"performs":[146],"better":[147],"than":[148],"stand-alone":[149],"features.":[153]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2339310483","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-01-18T04:18:40.757473","created_date":"2016-06-24"}