{"id":"https://openalex.org/W4408689099","doi":"https://doi.org/10.1145/3716895.3716947","title":"SDI-YOLOV9: Recognition of pre-cut sugarcane stem nodes under multi-field-of-view based on improved YOLOV9","display_name":"SDI-YOLOV9: Recognition of pre-cut sugarcane stem nodes under multi-field-of-view based on improved YOLOV9","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4408689099","doi":"https://doi.org/10.1145/3716895.3716947"},"language":"en","primary_location":{"id":"doi:10.1145/3716895.3716947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","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/A5087709555","display_name":"Z. Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuxuan Wan","raw_affiliation_strings":["College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101974186","display_name":"Zhongjian Xie","orcid":"https://orcid.org/0000-0003-2466-5851"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjian Xie","raw_affiliation_strings":["College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108132257","display_name":"Weiqi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Chen","raw_affiliation_strings":["College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000405932","display_name":"Yaya Zhang","orcid":"https://orcid.org/0009-0005-0038-9129"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaya Zhang","raw_affiliation_strings":["College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107936653","display_name":"Xinwei Chen","orcid":"https://orcid.org/0000-0002-3376-415X"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Chen","raw_affiliation_strings":["College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Information, Guangxi Minzu University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087709555"],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23924926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9743000268936157,"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":0.9743000268936157,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9735999703407288,"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":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.509638786315918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44366729259490967},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.3616064786911011},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.273327112197876},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23328188061714172},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.08477523922920227}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.509638786315918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44366729259490967},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.3616064786911011},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.273327112197876},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23328188061714172},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.08477523922920227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3716895.3716947","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716895.3716947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2014392089","https://openalex.org/W2373464677","https://openalex.org/W2912270388","https://openalex.org/W2987322772","https://openalex.org/W3042620863","https://openalex.org/W3165366273","https://openalex.org/W4309089912","https://openalex.org/W4313532963","https://openalex.org/W4327810495","https://openalex.org/W4362597724","https://openalex.org/W4376607779","https://openalex.org/W4386071462","https://openalex.org/W4386302464","https://openalex.org/W4389547095","https://openalex.org/W6753412334","https://openalex.org/W6762166850","https://openalex.org/W6856366574","https://openalex.org/W7024761327"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sugarcane":[0],"node":[1,46],"identification":[2],"is":[3,21,86,119,122,131,152,203],"critical":[4],"to":[5,25,27,60,124,135,138,158],"improving":[6],"sugarcane-cutting":[7],"efficiency":[8],"and":[9,18,23,88,99,129,133,144,197],"ensuring":[10],"agricultural":[11],"sugar":[12],"production.":[13],"The":[14,166],"traditional":[15],"manual":[16],"positioning":[17],"cutting":[19],"method":[20,59,212],"inefficient":[22],"difficult":[24],"adapt":[26],"the":[28,63,75,79,83,93,97,107,111,126,136,140,148,160,171,178],"needs":[29],"of":[30,82,96,162,180,190,195,200],"large-scale":[31],"sowing.":[32],"To":[33],"solve":[34],"this":[35,37],"problem,":[36],"study":[38,54],"proposes":[39],"an":[40,187],"improved":[41,149],"multi-field-of-view":[42,57],"complex":[43,117],"sugarcane":[44,182,220],"stem":[45,183,221],"recognition":[47,101,223],"algorithm":[48,174],"SDI-YOLOv9":[49],"based":[50],"on":[51],"YOLOv9.":[52],"This":[53,90,211],"uses":[55],"a":[56,193,198,215],"detection":[58,71,209],"significantly":[61,204],"reduce":[62],"equipment's":[64],"size;":[65],"simultaneously":[66],"detecting":[67],"multiple":[68,181,219],"sugarcanes":[69],"improves":[70,100],"efficiency.":[72],"By":[73],"introducing":[74],"DySample":[76],"dynamic":[77],"upsampler,":[78],"upsampling":[80],"module":[81],"YOLOv9":[84,150,173],"model":[85,98,137,151],"reconstructed":[87],"optimized.":[89],"optimization":[91],"reduces":[92],"computational":[94],"load":[95],"accuracy.":[102],"In":[103],"addition,":[104],"by":[105],"integrating":[106],"iRMB":[108],"attention":[109],"mechanism,":[110],"model's":[112],"target":[113],"localization":[114],"capability":[115],"in":[116,177,224],"environments":[118],"enhanced;":[120],"SCConv":[121],"used":[123],"transform":[125],"RepNCSPELAN4":[127],"module,":[128],"RepNCSPELAN4SCConv":[130],"obtained":[132],"applied":[134],"improve":[139],"feature":[141],"extraction":[142],"ability":[143],"overall":[145],"performance.":[146],"Finally,":[147],"compared":[153],"with":[154,186],"other":[155,207],"existing":[156],"models":[157],"verify":[159],"effectiveness":[161],"our":[163],"proposed":[164],"improvement.":[165],"experimental":[167],"results":[168],"show":[169],"that":[170],"enhanced":[172],"performs":[175],"well":[176],"task":[179],"segment":[184,222],"recognition,":[185],"average":[188],"accuracy":[189],"89.6%":[191],"mAP,":[192],"precision":[194],"89.5%,":[196],"recall":[199],"83.9%,":[201],"which":[202],"better":[205],"than":[206],"mainstream":[208],"algorithms.":[210],"can":[213],"provide":[214],"valuable":[216],"reference":[217],"for":[218],"intelligent":[225],"agriculture.":[226]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}