{"id":"https://openalex.org/W4307939678","doi":"https://doi.org/10.3390/s22218266","title":"Identification and Localisation Algorithm for Sugarcane Stem Nodes by Combining YOLOv3 and Traditional Methods of Computer Vision","display_name":"Identification and Localisation Algorithm for Sugarcane Stem Nodes by Combining YOLOv3 and Traditional Methods of Computer Vision","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4307939678","doi":"https://doi.org/10.3390/s22218266","pmid":"https://pubmed.ncbi.nlm.nih.gov/36365970"},"language":"en","primary_location":{"id":"doi:10.3390/s22218266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218266","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8266/pdf?version=1666953996","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/21/8266/pdf?version=1666953996","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102585805","display_name":"Deqiang Zhou","orcid":"https://orcid.org/0009-0002-0326-0513"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deqiang Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072162370","display_name":"Wenbo Zhao","orcid":"https://orcid.org/0000-0001-7141-6394"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101845614","display_name":"Yanxiang Chen","orcid":"https://orcid.org/0000-0001-7974-6494"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxiang Chen","raw_affiliation_strings":["School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101786785","display_name":"Qiuju Zhang","orcid":"https://orcid.org/0000-0001-6813-6068"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuju Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Jiangnan University, Wuxi 214000, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063220413","display_name":"Ganran Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ganran Deng","raw_affiliation_strings":["Agro-Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agro-Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China","institution_ids":["https://openalex.org/I107851509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012654640","display_name":"Fengguang He","orcid":"https://orcid.org/0000-0003-3949-5170"},"institutions":[{"id":"https://openalex.org/I107851509","display_name":"Chinese Academy of Tropical Agricultural Sciences","ror":"https://ror.org/003qeh975","country_code":"CN","type":"government","lineage":["https://openalex.org/I107851509","https://openalex.org/I4210127390","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengguang He","raw_affiliation_strings":["Agro-Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agro-Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524000, China","institution_ids":["https://openalex.org/I107851509"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102585805"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.914,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90423253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"21","first_page":"8266","last_page":"8266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"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":0.9991000294685364,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9936000108718872,"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"}},{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9732000231742859,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280550360679626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5954287052154541},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5465455055236816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5208647847175598},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5205979347229004},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5106597542762756},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5083948969841003},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5078099370002747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44367527961730957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43684983253479004},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4339301586151123},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4295782446861267},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.41265058517456055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26469552516937256},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15679004788398743}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280550360679626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5954287052154541},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5465455055236816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5208647847175598},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5205979347229004},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5106597542762756},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5083948969841003},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5078099370002747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44367527961730957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43684983253479004},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4339301586151123},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4295782446861267},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.41265058517456055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26469552516937256},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15679004788398743},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D031786","descriptor_name":"Saccharum","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031786","descriptor_name":"Saccharum","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D031786","descriptor_name":"Saccharum","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22218266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218266","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8266/pdf?version=1666953996","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36365970","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36365970","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:f1e82610bb684217a6c7b68b9ced4ca2","is_oa":true,"landing_page_url":"https://doaj.org/article/f1e82610bb684217a6c7b68b9ced4ca2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 21, p 8266 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/21/8266/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22218266","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":"Sensors; Volume 22; Issue 21; Pages: 8266","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9654303","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9654303","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22218266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218266","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8266/pdf?version=1666953996","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G7168784363","display_name":null,"funder_award_id":"1630132022001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4307939678.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2014392089","https://openalex.org/W2265592862","https://openalex.org/W2473156356","https://openalex.org/W2570343428","https://openalex.org/W2897350321","https://openalex.org/W2900446112","https://openalex.org/W2953536431","https://openalex.org/W2963037989","https://openalex.org/W2987455259","https://openalex.org/W2994492361","https://openalex.org/W2997553427","https://openalex.org/W3036904377","https://openalex.org/W3042620863","https://openalex.org/W3094147252","https://openalex.org/W3118308691","https://openalex.org/W3157124919","https://openalex.org/W3163410982","https://openalex.org/W6750227808","https://openalex.org/W6794258697"],"related_works":["https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W2066926363","https://openalex.org/W2354159744","https://openalex.org/W2351539857","https://openalex.org/W2381972071","https://openalex.org/W4301382669","https://openalex.org/W2151040698","https://openalex.org/W2244279624","https://openalex.org/W2769449892"],"abstract_inverted_index":{"Sugarcane":[0],"stem":[1,20,111,125,173,186,203],"node":[2,204],"identification":[3,56],"is":[4,25,50,65,71,84,98,113,127,138,156,159,175],"the":[5,10,15,55,62,75,78,88,93,102,107,110,117,121,124,142,145,163,180,185,193,202,218,221,225,246],"core":[6],"technology":[7],"required":[8],"for":[9,172],"intelligence":[11],"and":[12,23,44,80,106,182,198,213,224,232],"mechanization":[13],"of":[14,47,77,90,92,109,123,144,184,201],"sugarcane":[16,79],"industry.":[17],"However,":[18],"detecting":[19],"nodes":[21,112,126,174],"quickly":[22],"accurately":[24,178],"still":[26],"a":[27,39,81,96,134,151,169],"significant":[28],"challenge.":[29],"In":[30,131],"this":[31,37,132,208,241,243],"paper,":[32,242],"in":[33,207,240],"order":[34],"to":[35,73,86,100,140,161,177,217,236],"solve":[36],"problem,":[38],"new":[40,135],"algorithm":[41,171,206,244],"combining":[42],"YOLOv3":[43,103,118,148,219],"traditional":[45],"methods":[46,238],"computer":[48],"vision":[49],"proposed,":[51,157],"which":[52,68,158],"can":[53],"improve":[54],"rate":[57,223],"during":[58,67],"automated":[59],"cutting.":[60],"First,":[61],"input":[63],"image":[64,146,164],"preprocessed,":[66],"affine":[69],"transformation":[70],"used":[72,160],"correct":[74],"posture":[76],"rotation":[82],"matrix":[83],"established":[85],"obtain":[87],"region":[89],"interest":[91],"sugarcane.":[94],"Then,":[95,150],"dataset":[97],"built":[99],"train":[101],"network":[104],"model":[105],"position":[108,122],"initially":[114],"determined":[115],"using":[116],"model.":[119],"Finally,":[120,168],"further":[128],"located":[129],"accurately.":[130],"step,":[133],"gradient":[136],"operator":[137],"proposed":[139],"extract":[141],"edge":[143,166],"after":[147,165],"recognition.":[149],"local":[152],"threshold":[153],"determination":[154],"method":[155],"binarize":[162],"extraction.":[167],"localization":[170],"designed":[176],"determine":[179],"number":[181],"location":[183],"nodes.":[187],"The":[188],"experimental":[189],"results":[190],"show":[191],"that":[192],"precision":[194,222],"rate,":[195,197],"recall":[196],"harmonic":[199,226],"mean":[200,227],"recognition":[205,248],"paper":[209],"are":[210,228],"99.68%,":[211],"100%,":[212],"99.84%,":[214],"respectively.":[215,234],"Compared":[216,235],"network,":[220],"improved":[229],"by":[230],"2.28%":[231],"1.13%,":[233],"other":[237],"introduced":[239],"has":[245],"highest":[247],"rate.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}