{"id":"https://openalex.org/W3201226126","doi":"https://doi.org/10.1109/agro-geoinformatics50104.2021.9530307","title":"Object-oriented greenhouse cantaloupe identification by remote sensing technology","display_name":"Object-oriented greenhouse cantaloupe identification by remote sensing technology","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3201226126","doi":"https://doi.org/10.1109/agro-geoinformatics50104.2021.9530307","mag":"3201226126"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics50104.2021.9530307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics50104.2021.9530307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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/A5109414094","display_name":"Bei Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bei Cui","raw_affiliation_strings":["Key Laboratory of Earth Observation Hainan Province, Hainan Institute of Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Earth Observation Hainan Province, Hainan Institute of Aerospace Information Research Institute, Chinese Academy of Sciences, Sanya, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109619264","display_name":"Wenjiang Huang","orcid":"https://orcid.org/0009-0009-3343-7034"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjiang Huang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780503","display_name":"Huichun Ye","orcid":"https://orcid.org/0000-0001-7836-497X"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huichun Ye","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089744296","display_name":"Zhichao Li","orcid":"https://orcid.org/0000-0002-8734-6551"},"institutions":[{"id":"https://openalex.org/I4210149102","display_name":"Sanya University","ror":"https://ror.org/04fa2qd52","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Li","raw_affiliation_strings":["Sanya Institute of Remote Sensing, Sanya, China"],"affiliations":[{"raw_affiliation_string":"Sanya Institute of Remote Sensing, Sanya, China","institution_ids":["https://openalex.org/I4210149102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041677938","display_name":"Quanxi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanxi Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5109414094"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":0.3304,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63867143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.7362713813781738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363372206687927},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6042488813400269},{"id":"https://openalex.org/keywords/cucumis","display_name":"Cucumis","score":0.4787651598453522},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47866854071617126},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.451435387134552},{"id":"https://openalex.org/keywords/spectral-power-distribution","display_name":"Spectral power distribution","score":0.4498249888420105},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44732755422592163},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4293377995491028},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.42532432079315186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4029247462749481},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37085288763046265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33059656620025635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15394970774650574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1408069133758545},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10388380289077759},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.09750908613204956},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07340669631958008}],"concepts":[{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.7362713813781738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363372206687927},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6042488813400269},{"id":"https://openalex.org/C2778369795","wikidata":"https://www.wikidata.org/wiki/Q148758","display_name":"Cucumis","level":2,"score":0.4787651598453522},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47866854071617126},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.451435387134552},{"id":"https://openalex.org/C94360122","wikidata":"https://www.wikidata.org/wiki/Q1967557","display_name":"Spectral power distribution","level":2,"score":0.4498249888420105},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44732755422592163},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4293377995491028},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.42532432079315186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4029247462749481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37085288763046265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33059656620025635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15394970774650574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1408069133758545},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10388380289077759},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.09750908613204956},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07340669631958008},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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":[{"id":"doi:10.1109/agro-geoinformatics50104.2021.9530307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics50104.2021.9530307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W987949470","https://openalex.org/W1974366090","https://openalex.org/W1999857868","https://openalex.org/W2073492589","https://openalex.org/W2280567249","https://openalex.org/W2335794719","https://openalex.org/W2422834212","https://openalex.org/W2601221592","https://openalex.org/W2889785581","https://openalex.org/W2911964244","https://openalex.org/W2972221779","https://openalex.org/W2981849677","https://openalex.org/W2990014820","https://openalex.org/W2996135969","https://openalex.org/W3031234895","https://openalex.org/W3037384629"],"related_works":["https://openalex.org/W3082232751","https://openalex.org/W2992679941","https://openalex.org/W4250315247","https://openalex.org/W2996595509","https://openalex.org/W1997350211","https://openalex.org/W2589310080","https://openalex.org/W4248354162","https://openalex.org/W4241112518","https://openalex.org/W3004088802","https://openalex.org/W1988509163"],"abstract_inverted_index":{"Cantaloupe":[0],"(Cucumis":[1],"melo":[2],"var.":[3],"saccharinus)":[4],"is":[5,28,41,105,278],"one":[6],"of":[7,25,55,75,79,93,102,160,181,184,191,223,252,272,287,306],"the":[8,22,58,71,90,100,125,147,164,166,182,185,197,200,218,221,234,238,249,253,265,270,284,298,303,309],"favorite":[9],"fruits":[10],"for":[11,136,282,296],"consumers":[12],"and":[13,19,43,73,154,157,205,228,248,258,276,291,301],"widely":[14],"cultivated":[15],"in":[16,67,116,193,211,289,308],"China.":[17],"Rapidly":[18],"accurately":[20,113],"obtaining":[21],"distribution":[23,53,150],"information":[24,54,92,139],"cantaloupe":[26,56,83,94,115,137,267,288,307],"greenhouses":[27,63,290],"very":[29],"helpful":[30],"to":[31,51,69,87,106,112,195],"local":[32],"government.":[33],"The":[34,61,77,214,244],"traditional":[35,59],"field":[36],"survey":[37],"method":[38,111,135,167,219,239,255],"by":[39,145],"workers":[40],"laborious":[42],"time-consuming.":[44],"Remote":[45],"sensing":[46,97,110,133],"technology":[47],"has":[48],"distinct":[49],"advantages":[50],"obtain":[52],"than":[57,237],"method.":[60],"plastic":[62,80,161],"were":[64,208,256],"usually":[65],"adopted":[66],"order":[68,194],"improve":[70,196,233],"yield":[72],"quality":[74],"cantaloupe.":[76],"effect":[78],"film":[81],"on":[82,141],"spectral":[84,158,170,186,224,242],"reflectance":[85],"leads":[86],"difficulties":[88],"estimating":[89],"growth":[91,138,285,299],"using":[95,146,169],"remote":[96,109,132],"technology.":[98],"Therefore,":[99],"purpose":[101],"this":[103,119,212],"study":[104,262,281],"provide":[107,293],"a":[108,176,279,294],"identify":[114,198],"greenhouses.":[117],"In":[118,163,178],"study,":[120],"with":[121,220,240],"GF-2":[122],"image":[123],"as":[124,175],"data":[126],"source,":[127],"we":[128],"proposed":[129,254],"an":[130],"object-oriented":[131],"monitoring":[134,283,297],"based":[140],"random":[142],"forest":[143],"algorithm":[144],"specific":[148],"spatial":[149],"details":[151],"(texture":[152],"features":[153,159,171,187,227,230],"shape":[155,229],"features)":[156],"greenhouse.":[162],"meantime,":[165],"only":[168,241],"was":[172],"also":[173,277],"conducted":[174],"contrast.":[177],"addition,":[179],"because":[180],"difference":[183],"between":[188],"different":[189],"periods":[190],"cantaloupes,":[192],"accuracy,":[199,275],"cantaloupes":[201],"at":[202],"early":[203],"period":[204,207,286,300,305],"middle-late":[206],"separately":[209],"monitored":[210],"study.":[213],"results":[215],"show":[216],"that":[217],"combination":[222],"features,":[225],"texture":[226],"can":[231,292],"effectively":[232],"classification":[235,246],"accuracy":[236,247],"features.":[243],"overall":[245],"Kappa":[250],"coefficient":[251],"92.36%":[257],"90.17%,":[259],"respectively.":[260],"This":[261],"successfully":[263],"implemented":[264],"greenhouse":[266],"identification":[268],"meeting":[269],"requirements":[271],"actual":[273],"production":[274],"preliminary":[280],"basis":[295],"predicting":[302],"maturity":[304],"future.":[310]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}