{"id":"https://openalex.org/W2896242900","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476100","title":"Research on Empirical Model and Gap Rate Model for Estimating Rice Leaf Area Index Based on UAV HD Digital Images","display_name":"Research on Empirical Model and Gap Rate Model for Estimating Rice Leaf Area Index Based on UAV HD Digital Images","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2896242900","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476100","mag":"2896242900"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2018.8476100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th 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/A5104388102","display_name":"Zhixian Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixian Luo","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012163895","display_name":"Kuifeng Luan","orcid":"https://orcid.org/0000-0001-7009-3888"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuifeng Luan","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057419150","display_name":"Weidong Zhu","orcid":"https://orcid.org/0000-0002-6404-0891"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Zhu","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705293","display_name":"Wei Xia","orcid":"https://orcid.org/0000-0003-3368-4050"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xia","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091019769","display_name":"Xiniun Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiniun Jiang","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101053093","display_name":"Mingqi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqi Zhu","raw_affiliation_strings":["College of Marine Sciences, Shanghai Ocean University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Marine Sciences, Shanghai Ocean University, Shanghai, China","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104388102"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":null,"apc_paid":null,"fwci":0.1906,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60582847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9986000061035156,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9922000169754028,"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/leaf-area-index","display_name":"Leaf area index","score":0.8489158153533936},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5906809568405151},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5850423574447632},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.514426052570343},{"id":"https://openalex.org/keywords/empirical-modelling","display_name":"Empirical modelling","score":0.49939823150634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4657486379146576},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4127300977706909},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3383055329322815},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.12206128239631653},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10417252779006958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08448109030723572}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8489158153533936},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5906809568405151},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5850423574447632},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.514426052570343},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.49939823150634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4657486379146576},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4127300977706909},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3383055329322815},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.12206128239631653},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10417252779006958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08448109030723572},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2018.8476100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1978160572","https://openalex.org/W1995103915","https://openalex.org/W2043651540","https://openalex.org/W2064417027","https://openalex.org/W2069693699","https://openalex.org/W2113724293","https://openalex.org/W2132926714","https://openalex.org/W2139273826","https://openalex.org/W2151647593","https://openalex.org/W2234644973","https://openalex.org/W2333980181","https://openalex.org/W2370478976","https://openalex.org/W4285719527","https://openalex.org/W6682333500","https://openalex.org/W6690035833"],"related_works":["https://openalex.org/W2377212262","https://openalex.org/W4327748155","https://openalex.org/W2955967599","https://openalex.org/W2549050738","https://openalex.org/W4387208895","https://openalex.org/W1594879216","https://openalex.org/W2388815296","https://openalex.org/W2120704556","https://openalex.org/W2106942517","https://openalex.org/W2041015752"],"abstract_inverted_index":{"The":[0,50,65,106,120,137],"Leaf":[1],"Area":[2],"Index":[3],"(LAI),":[4],"as":[5],"an":[6],"important":[7],"plant":[8],"characteristic":[9],"parameter,":[10],"is":[11,29,56,108,118,143],"of":[12,18,24,31,41,54,67,114,129,140,149,152,162,166],"great":[13,75],"significance":[14],"for":[15,87],"the":[16,22,32,92,115,125,130,160,164,179],"monitoring":[17],"vegetation":[19,26],"growth":[20],"and":[21,38,61,80,102,133,157,173,177,181],"estimation":[23,182],"surface":[25],"productivity.":[27],"Rice":[28],"one":[30],"world's":[33],"major":[34],"food":[35],"crops,":[36],"timely":[37],"accurate":[39,110],"measurement":[40],"rice":[42,153,167],"LAI":[43,69,95,165],"can":[44],"provide":[45],"scientific":[46],"information":[47,117],"on":[48],"agriculture.":[49],"remote":[51,71],"sensing":[52,72],"system":[53],"UAV":[55],"characterized":[57],"by":[58,70,169],"its":[59],"cost-effective":[60],"real-time":[62],"data":[63],"acquisition.":[64],"method":[66,86,101,172],"estimating":[68,163],"technology":[73],"has":[74,81],"advantages":[76],"over":[77],"traditional":[78],"methods":[79,97],"gradually":[82],"become":[83],"a":[84],"frontier":[85],"agricultural":[88],"research.":[89],"At":[90],"present,":[91],"commonly":[93],"used":[94],"inversion":[96],"are":[98,187],"empirical":[99,170],"model":[100,104,132,171,175],"physical":[103],"method.":[105],"former":[107],"not":[109,112],"because":[111,128],"all":[113],"spectral":[116],"used.":[119],"latter":[121],"cannot":[122],"directly":[123],"calculate":[124],"analytical":[126],"solution":[127],"complicated":[131],"many":[134],"input":[135],"parameters.":[136],"main":[138],"purpose":[139],"this":[141],"paper":[142],"to":[144,158],"obtain":[145],"high-definition":[146],"digital":[147],"images":[148],"different":[150],"varieties":[151],"using":[154],"low-altitude":[155],"drones,":[156],"analyze":[159,178],"feasibility":[161],"canopy":[168],"porosity":[174],"method,":[176],"difference":[180],"process":[183],"between":[184],"them.":[185],"There":[186],"problems.":[188]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
