{"id":"https://openalex.org/W7129270134","doi":"https://doi.org/10.1007/s13721-025-00726-8","title":"Effective detection of weeds in sesame crop","display_name":"Effective detection of weeds in sesame crop","publication_year":2026,"publication_date":"2026-02-17","ids":{"openalex":"https://openalex.org/W7129270134","doi":"https://doi.org/10.1007/s13721-025-00726-8"},"language":"en","primary_location":{"id":"doi:10.1007/s13721-025-00726-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13721-025-00726-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13721-025-00726-8.pdf","source":{"id":"https://openalex.org/S4210178532","display_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","issn_l":"2192-6662","issn":["2192-6662","2192-6670"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321666","host_organization_name":"Springer Vienna","host_organization_lineage":["https://openalex.org/P4310321666","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Vienna","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13721-025-00726-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114136680","display_name":"Nawazish Ali","orcid":null},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Nawazish Ali","raw_affiliation_strings":["School of Computer Science, University of Galway, Galway, H91 FYH2, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Galway, Galway, H91 FYH2, Ireland","institution_ids":["https://openalex.org/I188760350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079902585","display_name":"Kashfia Sailunaz","orcid":"https://orcid.org/0000-0001-8751-4108"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kashfia Sailunaz","raw_affiliation_strings":["Department of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123742036","display_name":"Said AbuShaar","orcid":null},"institutions":[{"id":"https://openalex.org/I91633459","display_name":"Middle East University","ror":"https://ror.org/059bgad73","country_code":"JO","type":"education","lineage":["https://openalex.org/I91633459"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Said AbuShaar","raw_affiliation_strings":["Middle East University, Airport highway, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Middle East University, Airport highway, Amman, Jordan","institution_ids":["https://openalex.org/I91633459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126256691","display_name":"M. Kemal \u00d6zdemir","orcid":null},"institutions":[{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Kemal \u00d6zdemir","raw_affiliation_strings":["Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey","institution_ids":["https://openalex.org/I3125470973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020310155","display_name":"Jon Rokne","orcid":"https://orcid.org/0000-0002-3439-2917"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jon Rokne","raw_affiliation_strings":["Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126247717","display_name":"Reda Alhajj","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"id":"https://openalex.org/I177969490","display_name":"University of Southern Denmark","ror":"https://ror.org/03yrrjy16","country_code":"DK","type":"education","lineage":["https://openalex.org/I177969490"]},{"id":"https://openalex.org/I3125470973","display_name":"Istanbul Medipol University","ror":"https://ror.org/037jwzz50","country_code":"TR","type":"education","lineage":["https://openalex.org/I3125470973"]}],"countries":["CA","DK","TR"],"is_corresponding":true,"raw_author_name":"Reda Alhajj","raw_affiliation_strings":["Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey","Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada","Department of Heath Informatics, University of Southern Denmark, Odense, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Istanbul Medipol University, Istanbul, Turkey","institution_ids":["https://openalex.org/I3125470973"]},{"raw_affiliation_string":"Department of Computer Science, University of Calgary, Calgary, AB T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]},{"raw_affiliation_string":"Department of Heath Informatics, University of Southern Denmark, Odense, Denmark","institution_ids":["https://openalex.org/I177969490"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5126247717"],"corresponding_institution_ids":["https://openalex.org/I168635309","https://openalex.org/I177969490","https://openalex.org/I3125470973"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24650898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9574999809265137,"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":0.9574999809265137,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.007000000216066837,"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/T12161","display_name":"Plant Surface Properties and Treatments","score":0.002300000051036477,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.626800000667572},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5626999735832214},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5339999794960022},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.5336999893188477},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.5},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.48590001463890076},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.48069998621940613},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.46540001034736633}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.626800000667572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251000165939331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985000133514404},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5339999794960022},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.5336999893188477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5320000052452087},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.48590001463890076},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43790000677108765},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.37049999833106995},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C207581243","wikidata":"https://www.wikidata.org/wiki/Q2746959","display_name":"Agrochemical","level":3,"score":0.2533000111579895},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s13721-025-00726-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13721-025-00726-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13721-025-00726-8.pdf","source":{"id":"https://openalex.org/S4210178532","display_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","issn_l":"2192-6662","issn":["2192-6662","2192-6670"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321666","host_organization_name":"Springer Vienna","host_organization_lineage":["https://openalex.org/P4310321666","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Vienna","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","raw_type":"journal-article"},{"id":"pmh:oai:sdu.dk:openaire_cris_publications/a77ef2b8-e36a-4d9c-b140-549df5a8c6f8","is_oa":true,"landing_page_url":"https://portal.findresearcher.sdu.dk/da/publications/a77ef2b8-e36a-4d9c-b140-549df5a8c6f8","pdf_url":null,"source":{"id":"https://openalex.org/S4306400423","display_name":"University of Southern Denmark Research Portal (University of Southern Denmark)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177969490","host_organization_name":"University of Southern Denmark","host_organization_lineage":["https://openalex.org/I177969490"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ali, N, Sailunaz, K, AbuShaar, S, \u00d6zdemir, M K, Rokne, J & Alhajj, R 2026, 'Effective detection of weeds in sesame crop', Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 15, no. 1, 55. https://doi.org/10.1007/s13721-025-00726-8","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s13721-025-00726-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13721-025-00726-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13721-025-00726-8.pdf","source":{"id":"https://openalex.org/S4210178532","display_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","issn_l":"2192-6662","issn":["2192-6662","2192-6670"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310321666","host_organization_name":"Springer Vienna","host_organization_lineage":["https://openalex.org/P4310321666","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Vienna","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Network Modeling Analysis in Health Informatics and Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7003050446510315}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323799","display_name":"Syddansk Universitet","ror":"https://ror.org/03yrrjy16"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7129270134.pdf","grobid_xml":"https://content.openalex.org/works/W7129270134.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W574415176","https://openalex.org/W589019094","https://openalex.org/W639708223","https://openalex.org/W1494082314","https://openalex.org/W1584147058","https://openalex.org/W1592547115","https://openalex.org/W1971765701","https://openalex.org/W1980140885","https://openalex.org/W2004660812","https://openalex.org/W2009843674","https://openalex.org/W2010036662","https://openalex.org/W2030873237","https://openalex.org/W2035759078","https://openalex.org/W2078595101","https://openalex.org/W2081286693","https://openalex.org/W2418106930","https://openalex.org/W2592893779","https://openalex.org/W2620742659","https://openalex.org/W2767767563","https://openalex.org/W2783018199","https://openalex.org/W3018757597","https://openalex.org/W3088056666","https://openalex.org/W3136950817","https://openalex.org/W3159790736","https://openalex.org/W3161323409","https://openalex.org/W4389870313","https://openalex.org/W4392239426","https://openalex.org/W4401225064","https://openalex.org/W4405080600","https://openalex.org/W4409210608","https://openalex.org/W4411865517","https://openalex.org/W4415925390"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Rapid":[1],"improvements":[2],"in":[3,80,111,155],"Computer":[4],"vision":[5],"(CV)":[6],"and":[7,18,22,30,56,66,115,129,133,178,183,195],"Deep":[8],"Learning":[9],"(DL)":[10],"methods":[11],"have":[12,33],"enabled":[13],"information":[14,69],"extraction":[15],"from":[16,97,113],"images":[17,114],"videos":[19,116],"to":[20,58,122],"apply":[21],"interpret":[23],"them":[24],"for":[25,38,150,158,221],"various":[26],"applications.":[27],"Numerous":[28],"agricultural":[29,40],"farming":[31,46],"applications":[32],"been":[34],"using":[35],"DL":[36,218],"approaches":[37],"resolving":[39],"challenges":[41],"as":[42,44],"well":[43],"optimizing":[45],"operations.":[47],"One":[48],"such":[49],"significant":[50],"task":[51,120],"is":[52,83,117,148],"automated":[53],"weed":[54],"identification":[55],"categorization":[57],"improve":[59],"crop":[60],"yield.":[61],"With":[62],"the":[63,71,75,90,106,123,126,136,184,200,203,225,230,233],"recent":[64],"research":[65],"experiments":[67],"providing":[68],"on":[70,206],"adverse":[72],"effects":[73],"of":[74,77,131,153,192,227,232],"use":[76],"chemical":[78,160],"herbicides":[79,101,161],"farming,":[81],"it":[82],"becoming":[84],"evident":[85],"that":[86],"they":[87],"are":[88,181],"damaging":[89],"environment":[91],"while":[92],"wasting":[93],"resources.":[94],"Differentiating":[95],"weeds":[96,110,132,154],"crops":[98,112,134,157],"before":[99],"applying":[100],"can":[102],"help":[103],"with":[104,224],"reducing":[105],"environmental":[107],"effects.":[108],"Detecting":[109],"a":[118,142,207],"challenging":[119],"due":[121],"similarities":[124],"between":[125],"colors,":[127],"forms,":[128],"textures":[130],"throughout":[135],"growing":[137],"period.":[138],"In":[139],"this":[140],"paper,":[141],"deep":[143,166],"Convolutional":[144],"Neural":[145],"Networks":[146],"(CNN)":[147],"implemented":[149],"accurate":[151],"detection":[152,185],"sesame":[156],"selective":[159],"spraying.":[162],"Three":[163],"different":[164],"pre-trained":[165],"learning":[167],"algorithms":[168],"like":[169],"You":[170],"Only":[171],"Look":[172],"Once":[173],"(YOLO),":[174],"specifically":[175],"YOLOv4,":[176],"YOLOv5,":[177],"Faster":[179],"R-CNN":[180],"applied":[182,220],"models":[186,205,219],"achieved":[187],"mean":[188],"average":[189,211],"precision":[190],"(mAP)":[191],"74%,":[193],"56%,":[194],"52%,":[196],"respectively.":[197],"YOLOv4":[198],"performed":[199],"best":[201],"among":[202],"three":[204],"limited":[208],"dataset.":[209],"The":[210],"IoU":[212],"value":[213],"outperformed":[214],"other":[215],"object":[216],"detection-based":[217],"similar":[222],"tasks":[223],"score":[226],"80%,":[228],"showing":[229],"efficiency":[231],"proposed":[234],"system.":[235]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-18T00:00:00"}
