{"id":"https://openalex.org/W3082200031","doi":"https://doi.org/10.1587/transinf.2020edl8038","title":"Fresh Tea Shoot Maturity Estimation via Multispectral Imaging and Deep Label Distribution Learning","display_name":"Fresh Tea Shoot Maturity Estimation via Multispectral Imaging and Deep Label Distribution Learning","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3082200031","doi":"https://doi.org/10.1587/transinf.2020edl8038","mag":"3082200031"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2020edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/9/E103.D_2020EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/9/E103.D_2020EDL8038/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100700180","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-1042-5649"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin CHEN","raw_affiliation_strings":["College of Mathematics Physics and Information Engineering, Jiaxing University"],"affiliations":[{"raw_affiliation_string":"College of Mathematics Physics and Information Engineering, Jiaxing University","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015824761","display_name":"Jili Yan","orcid":"https://orcid.org/0000-0003-2393-030X"},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiLi YAN","raw_affiliation_strings":["College of Mathematics Physics and Information Engineering, Jiaxing University"],"affiliations":[{"raw_affiliation_string":"College of Mathematics Physics and Information Engineering, Jiaxing University","institution_ids":["https://openalex.org/I4210092870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100700180"],"corresponding_institution_ids":["https://openalex.org/I4210092870"],"apc_list":null,"apc_paid":null,"fwci":0.8771,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.68211329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"E103.D","issue":"9","first_page":"2019","last_page":"2022"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9930999875068665,"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":0.9930999875068665,"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":0.984499990940094,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9455999732017517,"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/multispectral-image","display_name":"Multispectral image","score":0.8910943865776062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.773677408695221},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6915636658668518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6459225416183472},{"id":"https://openalex.org/keywords/maturity","display_name":"Maturity (psychological)","score":0.5958088636398315},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5166573524475098},{"id":"https://openalex.org/keywords/shoot","display_name":"Shoot","score":0.49578437209129333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46560293436050415},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45535990595817566},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4361857771873474},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4314861595630646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3374280333518982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21665030717849731},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.15263241529464722},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07402527332305908}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8910943865776062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.773677408695221},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6915636658668518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6459225416183472},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.5958088636398315},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5166573524475098},{"id":"https://openalex.org/C21410773","wikidata":"https://www.wikidata.org/wiki/Q220869","display_name":"Shoot","level":2,"score":0.49578437209129333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46560293436050415},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45535990595817566},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4361857771873474},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4314861595630646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3374280333518982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21665030717849731},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.15263241529464722},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07402527332305908},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2020edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/9/E103.D_2020EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2020edl8038","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edl8038","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/9/E103.D_2020EDL8038/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1074386499","display_name":null,"funder_award_id":"LQ20F020026","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3113804440","display_name":null,"funder_award_id":"LY18F020021","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4010405782","display_name":null,"funder_award_id":"LQ18F020007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8207041264","display_name":null,"funder_award_id":"2018AY11001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082200031.pdf","grobid_xml":"https://content.openalex.org/works/W3082200031.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2006327656","https://openalex.org/W2046194813","https://openalex.org/W2053816044","https://openalex.org/W2154661444","https://openalex.org/W2242753553","https://openalex.org/W2330485005","https://openalex.org/W2553156677","https://openalex.org/W2753841790","https://openalex.org/W2807098087","https://openalex.org/W2809635958","https://openalex.org/W2889695106","https://openalex.org/W2890796941","https://openalex.org/W2965412542","https://openalex.org/W2999219213","https://openalex.org/W3003462033","https://openalex.org/W3105616927","https://openalex.org/W4234720542"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2039041387"],"abstract_inverted_index":{"Fresh":[0,40],"Tea":[1,41],"Shoot":[2,42],"Maturity":[3,43],"Estimation":[4],"(FTSME)":[5],"is":[6,55,63,69],"the":[7,16,22,67,70,79,87,92,97,110,120],"basement":[8],"of":[9],"automatic":[10],"tea":[11,72],"picking":[12],"technique,":[13],"determines":[14],"whether":[15],"shoot":[17,73],"can":[18],"be":[19],"picked.":[20],"Unfortunately,":[21],"ambiguous":[23],"information":[24],"among":[25],"single":[26],"labels":[27],"and":[28,49,66,82,90],"uncontrollable":[29],"imaging":[30,48],"condition":[31],"lead":[32],"to":[33,57,85],"a":[34,114],"low":[35],"FTSME":[36,118],"accuracy.":[37],"A":[38],"novel":[39],"Estimating":[44],"method":[45,112],"via":[46],"multispectral":[47,88],"Deep":[50],"Label":[51],"Distribution":[52],"Learning":[53],"(FTSME-DLDL)":[54],"proposed":[56,111],"overcome":[58],"these":[59],"issues.":[60],"The":[61,105],"input":[62],"25-band":[64],"images,":[65],"output":[68],"corresponding":[71],"maturity":[74],"label":[75,93],"distribution.":[76],"We":[77],"utilize":[78],"multiple":[80],"VGG-16":[81],"auto-encoding":[83],"network":[84],"obtain":[86],"features,":[89],"learn":[91],"distribution":[94],"by":[95],"minimizing":[96],"Kullback-Leibler":[98],"divergence":[99],"using":[100],"deep":[101],"convolutional":[102],"neural":[103],"networks.":[104],"experimental":[106],"results":[107],"show":[108],"that":[109],"has":[113],"better":[115],"performance":[116],"on":[117],"than":[119],"state-of-the-art":[121],"methods.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}