{"id":"https://openalex.org/W7081631990","doi":"https://doi.org/10.21227/drd6-b843","title":"\"DE-YOLOv13-S: Research on a Biomimetic Vision-Based Model for Yield Detection of Yunnan Large-Leaf Tea Trees\"","display_name":"\"DE-YOLOv13-S: Research on a Biomimetic Vision-Based Model for Yield Detection of Yunnan Large-Leaf Tea Trees\"","publication_year":2025,"publication_date":"2025-09-13","ids":{"openalex":"https://openalex.org/W7081631990","doi":"https://doi.org/10.21227/drd6-b843"},"language":"en","primary_location":{"id":"doi:10.21227/drd6-b843","is_oa":true,"landing_page_url":"https://doi.org/10.21227/drd6-b843","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/drd6-b843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shihao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shihao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.4117000102996826,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.4117000102996826,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13177","display_name":"Geological and Geophysical Studies","score":0.03669999912381172,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/T13067","display_name":"Geological Modeling and Analysis","score":0.02969999983906746,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6252999901771545},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4415000081062317},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.4025000035762787},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.40149998664855957},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.36550000309944153},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3614000082015991},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.35280001163482666},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.335099995136261}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6252999901771545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5142999887466431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4496999979019165},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.4025000035762787},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.40149998664855957},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.29190000891685486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2777000069618225},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25839999318122864},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/drd6-b843","is_oa":true,"landing_page_url":"https://doi.org/10.21227/drd6-b843","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/drd6-b843","is_oa":true,"landing_page_url":"https://doi.org/10.21227/drd6-b843","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.766377866268158}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"To":[0],"address":[1],"the":[2,16,34,44,49,57,69,83,94,102,118,127,137,147,164,202,220],"challenges":[3],"of":[4,19,37,48,56,72,82,97,107,126,209,223],"variable":[5],"target":[6],"scale,":[7],"complex":[8],"background,":[9],"blurred":[10],"image":[11],"and":[12,53,77,105,123,134,140,144,156,174,183,196,206,226],"serious":[13],"occlusion":[14],"in":[15],"yield":[17,112,198],"detection":[18,199],"Yunnan":[20,108],"large-leaf":[21,109],"tea":[22,110,210],"tree,":[23],"this":[24],"study":[25],"proposes":[26],"a":[27,215],"deep":[28,221],"learning":[29],"network":[30,129,190],"DE-YOLOv13-S":[31,128,189],"that":[32,117],"integrates":[33],"visual":[35,59,85],"mechanism":[36,96],"primates.":[38],"DynamicConv":[39],"was":[40,65,90],"used":[41,91],"to":[42,67,92],"optimize":[43],"dynamic":[45],"adjustment":[46],"process":[47],"effective":[50],"receptive":[51],"field":[52],"channel":[54],"gain":[55,75],"primate":[58,84],"system.":[60,86],"Efficient":[61],"Mixed-pooling":[62],"Channel":[63],"Attention":[64],"introduced":[66],"simulate":[68,93],"observation":[70],"strategy":[71],"'":[73,81],"global":[74],"control":[76],"selective":[78],"integration":[79,222],"parallel":[80],"Scale-based":[87],"Dynamic":[88],"Loss":[89,125],"fovealization":[95],"primates,":[98],"which":[99],"significantly":[100],"improved":[101,188],"positioning":[103],"accuracy":[104],"robustness":[106],"tree":[111],"detection.":[113],"The":[114,187],"results":[115],"show":[116],"Box":[119],"Loss,":[120,122],"Cls":[121],"DFL":[124],"decreased":[130],"by":[131,141,161,169,178],"18.75%,":[132],"3.70%,":[133],"2.54%":[135],"on":[136,146],"training":[138],"set,":[139,149],"18.48%,":[142],"14.29%,":[143],"7.46%":[145],"validation":[148],"respectively.":[150,186],"Compared":[151],"with":[152],"YOLOv13,":[153],"its":[154],"Parameters":[155],"Gradients":[157],"are":[158,176],"only":[159,192],"increased":[160,177],"2.06M,":[162],"while":[163],"computational":[165],"complexity":[166],"is":[167],"reduced":[168],"0.2G":[170],"FLOPs,":[171],"Precision,":[172],"Recall":[173],"mAP":[175],"3.78":[179],"%,":[180,185],"2.04":[181],"%":[182],"3.35":[184],"not":[191],"provides":[193,214],"an":[194],"efficient":[195],"stable":[197],"solution":[200],"for":[201,219],"intelligent":[203],"management":[204],"level":[205],"high-quality":[207],"development":[208],"gardens,":[211],"but":[212],"also":[213],"solid":[216],"technical":[217],"support":[218],"bionic":[224],"vision":[225],"agricultural":[227],"remote":[228],"sensing.\"":[229]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}