{"id":"https://openalex.org/W4225068238","doi":"https://doi.org/10.3390/rs14030642","title":"Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning","display_name":"Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning","publication_year":2022,"publication_date":"2022-01-28","ids":{"openalex":"https://openalex.org/W4225068238","doi":"https://doi.org/10.3390/rs14030642"},"language":"en","primary_location":{"id":"doi:10.3390/rs14030642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030642","pdf_url":"https://www.mdpi.com/2072-4292/14/3/642/pdf?version=1643426376","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/3/642/pdf?version=1643426376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101918717","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0001-7969-2406"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001312175","display_name":"Fugen Jiang","orcid":"https://orcid.org/0000-0002-1940-9952"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fugen Jiang","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058464997","display_name":"Yi Long","orcid":"https://orcid.org/0000-0003-4362-5740"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Long","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087729203","display_name":"Liyong Fu","orcid":"https://orcid.org/0000-0002-5794-9458"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liyong Fu","raw_affiliation_strings":["Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005097745","display_name":"Hua Sun","orcid":"https://orcid.org/0000-0002-5401-6783"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Sun","raw_affiliation_strings":["Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha 410004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha 410004, China","institution_ids":["https://openalex.org/I4210134523"]},{"raw_affiliation_string":"Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005097745"],"corresponding_institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479","https://openalex.org/I4210134523"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4328,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55013634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"3","first_page":"642","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9987000226974487,"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/T11796","display_name":"Horticultural and Viticultural Research","score":0.9857000112533569,"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/point-cloud","display_name":"Point cloud","score":0.6650656461715698},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6139166951179504},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.559850811958313},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.550009548664093},{"id":"https://openalex.org/keywords/camellia-oleifera","display_name":"Camellia oleifera","score":0.523813784122467},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4962652325630188},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.49273350834846497},{"id":"https://openalex.org/keywords/dbscan","display_name":"DBSCAN","score":0.4871527850627899},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45101526379585266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39743655920028687},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3658573031425476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459964394569397},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.2906116843223572},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24578461050987244},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.12399455904960632},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.11941438913345337}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6650656461715698},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6139166951179504},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.559850811958313},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.550009548664093},{"id":"https://openalex.org/C2778153387","wikidata":"https://www.wikidata.org/wiki/Q2498293","display_name":"Camellia oleifera","level":2,"score":0.523813784122467},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4962652325630188},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.49273350834846497},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.4871527850627899},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45101526379585266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39743655920028687},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3658573031425476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459964394569397},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.2906116843223572},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24578461050987244},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.12399455904960632},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.11941438913345337},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14030642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030642","pdf_url":"https://www.mdpi.com/2072-4292/14/3/642/pdf?version=1643426376","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:af506b39fb05417db35b74a4e6c5c3dc","is_oa":true,"landing_page_url":"https://doaj.org/article/af506b39fb05417db35b74a4e6c5c3dc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 3, p 642 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/3/642/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14030642","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 3; Pages: 642","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14030642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14030642","pdf_url":"https://www.mdpi.com/2072-4292/14/3/642/pdf?version=1643426376","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6368307535","display_name":null,"funder_award_id":"31971578","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225068238.pdf","grobid_xml":"https://content.openalex.org/works/W4225068238.grobid-xml"},"referenced_works_count":81,"referenced_works":["https://openalex.org/W48545496","https://openalex.org/W1485947280","https://openalex.org/W1532175189","https://openalex.org/W1652321627","https://openalex.org/W1910748739","https://openalex.org/W1965286517","https://openalex.org/W1972530201","https://openalex.org/W1973410798","https://openalex.org/W1977940988","https://openalex.org/W1998431135","https://openalex.org/W2003686417","https://openalex.org/W2007497540","https://openalex.org/W2013240187","https://openalex.org/W2014383059","https://openalex.org/W2019203441","https://openalex.org/W2023643081","https://openalex.org/W2030359906","https://openalex.org/W2034751801","https://openalex.org/W2043647238","https://openalex.org/W2050348639","https://openalex.org/W2075172547","https://openalex.org/W2080898816","https://openalex.org/W2083777906","https://openalex.org/W2113970208","https://openalex.org/W2114191733","https://openalex.org/W2149632353","https://openalex.org/W2151136777","https://openalex.org/W2157622450","https://openalex.org/W2162793089","https://openalex.org/W2164124513","https://openalex.org/W2165608115","https://openalex.org/W2171098181","https://openalex.org/W2290757597","https://openalex.org/W2301346208","https://openalex.org/W2395234887","https://openalex.org/W2395935795","https://openalex.org/W2466959383","https://openalex.org/W2471845272","https://openalex.org/W2475020214","https://openalex.org/W2523187491","https://openalex.org/W2549684703","https://openalex.org/W2603856983","https://openalex.org/W2605651763","https://openalex.org/W2605779321","https://openalex.org/W2620999345","https://openalex.org/W2754358088","https://openalex.org/W2761306280","https://openalex.org/W2779209483","https://openalex.org/W2782344141","https://openalex.org/W2801440467","https://openalex.org/W2885553657","https://openalex.org/W2887224747","https://openalex.org/W2888463023","https://openalex.org/W2895165409","https://openalex.org/W2901978891","https://openalex.org/W2903388419","https://openalex.org/W2937353161","https://openalex.org/W2944892195","https://openalex.org/W2945356329","https://openalex.org/W2955630146","https://openalex.org/W2959296249","https://openalex.org/W2962791118","https://openalex.org/W2980793762","https://openalex.org/W2989740410","https://openalex.org/W2991151274","https://openalex.org/W2998330714","https://openalex.org/W3016777035","https://openalex.org/W3021767909","https://openalex.org/W3023383448","https://openalex.org/W3025323848","https://openalex.org/W3044192107","https://openalex.org/W3080629675","https://openalex.org/W3082941351","https://openalex.org/W3092607926","https://openalex.org/W3111489060","https://openalex.org/W3122830743","https://openalex.org/W3165321300","https://openalex.org/W3212513499","https://openalex.org/W3216963956","https://openalex.org/W6652092920","https://openalex.org/W6738494927"],"related_works":["https://openalex.org/W1655795019","https://openalex.org/W2028896475","https://openalex.org/W2082216369","https://openalex.org/W2150382074","https://openalex.org/W2390727152","https://openalex.org/W2385373070","https://openalex.org/W3198104320","https://openalex.org/W2051365026","https://openalex.org/W2000042884","https://openalex.org/W2364571238"],"abstract_inverted_index":{"Oil":[0],"tea":[1,31,40,54,136,148,162,307],"(Camellia":[2],"oleifera)":[3],"is":[4,15,48,97],"one":[5],"of":[6,29,38,72,81,102,105,134,160,190,244,281,305],"the":[7,35,65,69,88,103,118,131,183,209,216,221,245,260,272,288,293],"world\u2019s":[8],"major":[9],"woody":[10],"edible":[11],"oil":[12,30,39,53,135,147,161,306],"plants":[13],"and":[14,20,23,42,44,59,78,116,121,153,171,195,203,223,234,236,239,252,308],"vital":[16],"in":[17,100,176,219,271,292],"providing":[18],"food":[19],"raw":[21],"materials":[22],"ensuring":[24],"water":[25],"conservation.":[26],"The":[27,156,205],"yield":[28,46,82,106,113,303],"can":[32,63,300],"directly":[33,49],"reflect":[34],"growth":[36],"condition":[37],"forests,":[41],"rapid":[43],"accurate":[45],"measurement":[47],"beneficial":[50],"to":[51,67,111,129],"efficient":[52,302],"forest":[55],"management.":[56,316],"Light":[57],"detection":[58,228,279,290],"ranging":[60],"(LiDAR),":[61],"which":[62,283],"penetrate":[64],"canopy":[66],"acquire":[68],"geometric":[70,90],"attributes":[71],"targets,":[73],"has":[74],"become":[75],"an":[76,277],"effective":[77],"popular":[79],"method":[80,299],"identification":[83,114,218,304],"for":[84,146,201,313],"agricultural":[85,314],"products.":[86],"However,":[87],"common":[89,184,246],"attribute":[91],"information":[92],"obtained":[93,165],"by":[94],"LiDAR":[95],"systems":[96],"always":[98],"limited":[99],"terms":[101],"accuracy":[104],"identification.":[107,155],"In":[108,181,258],"this":[109,298],"study,":[110],"improve":[112],"efficiency":[115],"accuracy,":[117],"red-green-blue":[119],"(RGB)":[120],"luminance-bandwidth-chrominance":[122],"(i.e.,":[123],"YUV":[124,224,273],"color":[125,225,274,295],"spaces)":[126],"were":[127,164,174,199,231],"used":[128],"identify":[130],"point":[132,150,157],"clouds":[133],"fruits.":[137],"An":[138],"optimized":[139,210],"mean":[140,185,211,247,262],"shift":[141,212,248,263],"clustering":[142,189,198,213,255,264],"algorithm":[143,214,265],"was":[144,284],"constructed":[145],"fruit":[149],"cloud":[151,158],"extraction":[152],"product":[154,315],"data":[159],"trees":[163],"using":[166],"terrestrial":[167],"laser":[168],"scanning":[169],"(TLS),":[170],"field":[172],"measurements":[173],"conducted":[175],"Changsha":[177],"County,":[178],"central":[179],"China.":[180],"addition,":[182,259],"shift,":[186],"density-based":[187],"spatial":[188],"applications":[191],"with":[192,227,276],"noise":[193],"(DBSCAN),":[194],"maximum\u2013minimum":[196],"distance":[197,254],"established":[200],"comparison":[202],"validation.":[204],"results":[206],"showed":[207],"that":[208,230],"achieved":[215,266],"best":[217],"both":[220],"RGB":[222,294],"spaces,":[226],"ratios":[229],"9.02%,":[232],"54.53%,":[233],"3.91%":[235],"7.05%,":[237],"62.35%,":[238],"10.78%":[240],"higher":[241,268,286],"than":[242,287],"those":[243],"clustering,":[249,251],"DBSCAN":[250],"maximum-minimum":[253],"algorithms,":[256],"respectively.":[257],"improved":[261],"a":[267,310],"recognition":[269],"rate":[270,280,291],"space,":[275],"average":[278,289],"81.73%,":[282],"2.4%":[285],"space.":[296],"Therefore,":[297],"perform":[301],"provide":[309],"new":[311],"reference":[312]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2022-04-29T00:00:00"}
