{"id":"https://openalex.org/W7162753171","doi":"https://doi.org/10.1016/j.ecoinf.2026.103865","title":"Poppy detection network based on position-aware extraction and feature joint enhancement","display_name":"Poppy detection network based on position-aware extraction and feature joint enhancement","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7162753171","doi":"https://doi.org/10.1016/j.ecoinf.2026.103865"},"language":"en","primary_location":{"id":"doi:10.1016/j.ecoinf.2026.103865","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103865","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.ecoinf.2026.103865","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137361958","display_name":"Zhiqi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqi Zhang","raw_affiliation_strings":["Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","School of Computer Science, Hubei University of Technology, Wuhan 430068, China","State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Provincial Key Laboratory of Green Intelligent Computing Power Network, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137347819","display_name":"Jiaojiao Du","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaojiao Du","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan 430068, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137331011","display_name":"Zhaojun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojun Zhu","raw_affiliation_strings":["Wuhan Maritime Communication Research Institute, Wuhan 430205, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan Maritime Communication Research Institute, Wuhan 430205, China","institution_ids":["https://openalex.org/I4210155232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008343632","display_name":"Liuyang Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liuyang Fang","raw_affiliation_strings":["Kunming University of Science and Technology, Kunming 650093, China","Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming 650093, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology, Kunming 650093, China","institution_ids":["https://openalex.org/I10660446"]},{"raw_affiliation_string":"Yunnan Key Laboratory of Intelligent Monitoring and Spatiotemporal Big Data Governance of Natural Resources, Kunming 650093, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008343632"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90139335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":null,"first_page":"103865","last_page":"103865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.33889999985694885,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.33889999985694885,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.07859999686479568,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.03229999914765358,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6959999799728394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6534000039100647},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5784000158309937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4756999909877777},{"id":"https://openalex.org/keywords/poppy","display_name":"Poppy","score":0.42320001125335693}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7497000098228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049000263214111},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6959999799728394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6534000039100647},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5784000158309937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4756999909877777},{"id":"https://openalex.org/C2776295790","wikidata":"https://www.wikidata.org/wiki/Q967457","display_name":"Poppy","level":2,"score":0.42320001125335693},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2639999985694885}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.ecoinf.2026.103865","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103865","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.ecoinf.2026.103865","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ecoinf.2026.103865","pdf_url":null,"source":{"id":"https://openalex.org/S195809937","display_name":"Ecological Informatics","issn_l":"1574-9541","issn":["1574-9541","1878-0512"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ecological Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2694906324","https://openalex.org/W2903450714","https://openalex.org/W2912411997","https://openalex.org/W2934338418","https://openalex.org/W2985083673","https://openalex.org/W3034971973","https://openalex.org/W3081966421","https://openalex.org/W4223439999","https://openalex.org/W4290981008","https://openalex.org/W4311471747","https://openalex.org/W4385251404","https://openalex.org/W4386307496","https://openalex.org/W4391144036","https://openalex.org/W4394566495","https://openalex.org/W4400225573","https://openalex.org/W4401685465","https://openalex.org/W4403654109","https://openalex.org/W4404555209","https://openalex.org/W4405737532","https://openalex.org/W4406873261","https://openalex.org/W4406882649","https://openalex.org/W4407045983","https://openalex.org/W4407625154","https://openalex.org/W4407756688","https://openalex.org/W4409770779","https://openalex.org/W4413902046","https://openalex.org/W7126043646","https://openalex.org/W7134131216"],"related_works":[],"abstract_inverted_index":{"The":[0,157,256],"use":[1],"of":[2,73,169,226,235,246,264,270],"unmanned":[3],"aerial":[4],"vehicle":[5],"(UAV)":[6],"imagery":[7],"for":[8,118,125,284],"specific":[9],"plant":[10],"detection":[11,21,61,85,239],"has":[12],"emerged":[13],"as":[14,37],"an":[15,232,281],"important":[16],"approach.":[17],"In":[18],"sporadic":[19],"poppy":[20,84,137,170,203,228],"scenarios,":[22],"poppies":[23,288],"are":[24],"often":[25,63],"intercropped":[26],"with":[27,45],"other":[28],"crops":[29],"in":[30,289],"highly":[31],"dispersed":[32],"and":[33,40,70,79,92,114,139,175,200,274],"concealed":[34],"environments,":[35],"such":[36],"courtyard":[38],"corners":[39],"balconies,":[41],"thereby":[42,121,205],"increasing":[43],"confusion":[44],"background":[46],"vegetation.":[47],"Moreover,":[48],"substantial":[49],"morphological":[50,176],"variations":[51],"across":[52,172],"different":[53,173],"growth":[54],"stages":[55],"further":[56,242],"complicate":[57],"accurate":[58],"detection.":[59,128],"Existing":[60],"methods":[62],"fail":[64],"to":[65,76,111,133,164,197],"capture":[66,198],"the":[67,100,123,131,166,186,244,268,275],"precise":[68],"contours":[69],"texture":[71],"characteristics":[72,177],"poppies,":[74],"leading":[75],"false":[77,80],"positives":[78],"negatives.":[81],"Accordingly,":[82],"a":[83,148,222,249,260],"network":[86,132,258],"based":[87],"on":[88,135],"Position":[89],"Aware":[90],"Extraction":[91,104],"Feature":[93,103,151,189],"Joint":[94,150],"Enhancement":[95,152],"(PAFJ-Net)":[96],"is":[97,155],"proposed.":[98],"First,":[99],"Position-Aware":[101],"Multi-Scale":[102],"(PAM)":[105],"module":[106,154,158],"employs":[107],"global":[108],"average":[109],"pooling":[110],"extract":[112],"horizontal":[113],"vertical":[115],"positional":[116],"information":[117,207],"feature-channel":[119],"encoding,":[120],"enhancing":[122],"capability":[124],"local":[126],"feature":[127,213,216],"This":[129],"enables":[130],"focus":[134],"critical":[136],"features":[138,171],"effectively":[140],"distinguish":[141],"them":[142],"from":[143],"complex":[144,290],"vegetation":[145],"backgrounds.":[146],"Second,":[147],"Multi-Level":[149],"(MJFE)":[153],"introduced.":[156],"constructs":[159],"multi-branch":[160],"heterogeneous":[161],"convolutional":[162],"pathways":[163],"enhance":[165],"network's":[167],"perception":[168],"scales":[174],"while":[178,266],"simultaneously":[179],"strengthening":[180],"spatial":[181],"correlations":[182],"among":[183],"features.":[184],"Finally,":[185],"Global":[187],"Context":[188],"Fusion":[190],"(GCFF)":[191],"structure":[192],"utilises":[193],"cross-level":[194],"connected":[195],"channels":[196],"richer":[199],"more":[201],"detailed":[202],"features,":[204],"alleviating":[206],"loss":[208],"caused":[209],"by":[210,272,278],"insufficient":[211],"shallow\u2013deep":[212],"fusion":[214],"during":[215],"propagation.":[217],"Experiments":[218],"were":[219],"conducted":[220],"using":[221],"UAV-based":[223],"remote-sensing":[224],"dataset":[225],"containing":[227],"images.":[229],"PAFJ-Net":[230],"achieved":[231],"mAP":[233,262],"50":[234,263],"86.6%,":[236],"demonstrating":[237],"excellent":[238],"performance.":[240],"To":[241],"meet":[243],"demands":[245],"real-time":[247],"applications,":[248],"lightweight":[250],"version,":[251],"termed":[252],"L-PAFJ-Net,":[253],"was":[254],"developed.":[255],"proposed":[257],"maintains":[259],"high":[261],"85.5%":[265],"reducing":[267],"number":[269],"parameters":[271],"40.1%":[273],"computational":[276],"cost":[277],"51.4%,":[279],"providing":[280],"effective":[282],"solution":[283],"detecting":[285],"sporadically":[286],"cultivated":[287],"environments.":[291]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2026-05-30T00:00:00"}
