{"id":"https://openalex.org/W3094658394","doi":"https://doi.org/10.1111/jfpe.13586","title":"Identifying carrot appearance quality by an improved dense CapNet","display_name":"Identifying carrot appearance quality by an improved dense CapNet","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3094658394","doi":"https://doi.org/10.1111/jfpe.13586","mag":"3094658394"},"language":"en","primary_location":{"id":"doi:10.1111/jfpe.13586","doi":"https://doi.org/10.1111/jfpe.13586","is_oa":false,"landing_page_url":"https://doi.org/10.1111/jfpe.13586","pdf_url":null,"source":{"id":"https://openalex.org/S151747869","display_name":"Journal of Food Process Engineering","issn_l":"0145-8876","issn":["0145-8876","1745-4530"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Food Process Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5101785163","display_name":"Hongfei Zhu","orcid":"https://orcid.org/0009-0001-5553-4558","observed_orcids":["https://orcid.org/0009-0001-5553-4558"]},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004358315","display_name":"Lianhe Yang","orcid":"https://orcid.org/0000-0003-2206-6716","observed_orcids":["https://orcid.org/0000-0003-2206-6716"]},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhe Yang","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101996994","display_name":"Yuxin Sun","orcid":"https://orcid.org/0000-0001-9222-3428","observed_orcids":["https://orcid.org/0000-0001-9222-3428"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuxin Sun","raw_affiliation_strings":["Jiaozhou No.1 Middle School of Shandong Province, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiaozhou No.1 Middle School of Shandong Province, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110642203","display_name":"Zhongzhi Han","orcid":"https://orcid.org/0000-0002-5662-319X","observed_orcids":["https://orcid.org/0000-0002-5662-319X"]},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongzhi Han","raw_affiliation_strings":["College of Science and Information, Qingdao Agricultural University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science and Information, Qingdao Agricultural University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110642203"],"corresponding_institution_ids":["https://openalex.org/I146773158"],"apc_list":{"value":3000,"currency":"USD","value_usd":3000},"apc_paid":null,"fwci":2.2179,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87042796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"44","issue":"1","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":0.5814999938011169,"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":0.5814999938011169,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.36469998955726624,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.030500000342726707,"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/self-attention","display_name":"self-attention","score":0.8149999976158142},{"id":"https://openalex.org/keywords/dynamic-routing","display_name":"dynamic routing","score":0.7580000162124634},{"id":"https://openalex.org/keywords/background-interference-reduction","display_name":"background interference reduction","score":0.5600000023841858},{"id":"https://openalex.org/keywords/agricultural-product-sorting","display_name":"agricultural product sorting","score":0.6079999804496765},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.5289999842643738},{"id":"https://openalex.org/keywords/parameter-efficiency","display_name":"parameter efficiency","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7543468475341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687962532043457},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5713922381401062},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5199412107467651},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4676271080970764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4082210063934326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3807884156703949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33874672651290894},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/jfpe.13586","doi":"https://doi.org/10.1111/jfpe.13586","is_oa":false,"landing_page_url":"https://doi.org/10.1111/jfpe.13586","pdf_url":null,"source":{"id":"https://openalex.org/S151747869","display_name":"Journal of Food Process Engineering","issn_l":"0145-8876","issn":["0145-8876","1745-4530"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Food Process Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.8409000039100647,"id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2820661009","display_name":null,"funder_award_id":"31872849","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2279221249","https://openalex.org/W2384591828","https://openalex.org/W2473156356","https://openalex.org/W2576915720","https://openalex.org/W2751777443","https://openalex.org/W2789197281","https://openalex.org/W2790979755","https://openalex.org/W2794242089","https://openalex.org/W2802189604","https://openalex.org/W2804078698","https://openalex.org/W2807655019","https://openalex.org/W2886762501","https://openalex.org/W2895526696","https://openalex.org/W2919115771","https://openalex.org/W2922275516","https://openalex.org/W2951320766","https://openalex.org/W2963091558","https://openalex.org/W2963446712","https://openalex.org/W2963879950","https://openalex.org/W2979905157","https://openalex.org/W2996807960","https://openalex.org/W3026708784","https://openalex.org/W3029998414","https://openalex.org/W3047236570","https://openalex.org/W6923749905"],"related_works":["https://openalex.org/W4207083865","https://openalex.org/W3157905703","https://openalex.org/W2963879950","https://openalex.org/W3173680135","https://openalex.org/W4413449965","https://openalex.org/W4414003938","https://openalex.org/W4285798423","https://openalex.org/W3197013437","https://openalex.org/W4220810118","https://openalex.org/W3168637698"],"abstract_inverted_index":{"Abstract":[0],"Carrot":[1],"appearance":[2,26,41,57,203,228],"quality":[3,27,58,204,234],"is":[4,35,145,156,162,198],"a":[5,29,104,230],"significant":[6],"concern":[7],"of":[8,18,63,74,85,99,115,133,153,194,205,222],"consumers":[9],"and":[10,119,126,136,158,183,192],"modern":[11],"food":[12],"process":[13,17],"engineering.":[14],"In":[15,43,189,209],"the":[16,23,61,66,72,78,82,86,96,100,112,123,131,141,150,159,163,172,190,202,206,220],"sorting":[19],"in":[20,122,233],"agricultural":[21,24],"products,":[22],"products'":[25],"plays":[28,229],"particularly":[30],"important":[31],"role,":[32],"so":[33],"it":[34,197],"incredibly":[36],"necessary":[37],"to":[38,90,110,200],"identify":[39],"carrot":[40,56,195,207,227],"quality.":[42],"this":[44,127,154,210,237],"study,":[45],"we":[46],"proposed":[47],"an":[48],"improved":[49,101,173],"dense":[50,174],"capsule":[51,97,116,175],"network":[52,134,137,176],"model":[53,102,155,177,223],"(Modified\u2010DCNet)":[54,178],"for":[55],"identification.":[59],"First,":[60],"initiator":[62],"Modified\u2010DCNet":[64,212],"introduced":[65],"self\u2010attention":[67],"layer":[68],"that":[69,171],"will":[70],"reduce":[71,91,130,219],"interference":[73],"background":[75,92],"information":[76,93],"on":[77],"identification":[79,216],"task.":[80],"Specifically,":[81],"feature":[83],"weight":[84],"recognized":[87],"area":[88],"increased":[89],"interference.":[94],"Besides,":[95],"layers":[98],"used":[103],"locally":[105],"constrained":[106],"dynamic":[107],"routing":[108,117],"algorithm":[109,128],"realize":[111],"sharing":[113],"mechanism":[114],"selection":[118],"transformation":[120],"matrix":[121],"local":[124],"area,":[125],"can":[129,213],"size":[132,144],"parameters":[135],"training":[138],"load.":[139],"When":[140],"input":[142],"image":[143],"227":[146,148],"\u00d7":[147],"pixels,":[149],"recognition":[151,181],"accuracy":[152,182],"97.50%,":[157],"parameter":[160,185,224],"count":[161],"only":[164],"5.2":[165],"M.":[166],"The":[167,226],"experimental":[168],"results":[169],"show":[170],"has":[179,239],"higher":[180,215],"smaller":[184],"scales.":[186],"Practical":[187],"Applications":[188],"design":[191],"manufacture":[193],"sorter,":[196],"vital":[199],"recognize":[201],"correctly.":[208],"paper,":[211],"achieve":[214],"accuracy,":[217],"dramatically":[218],"burden":[221],"calculation.":[225],"crucial":[231],"role":[232],"assessment.":[235],"Therefore,":[236],"work":[238],"practical":[240],"application":[241],"value.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-11-09T00:00:00"}
