{"id":"https://openalex.org/W4410757981","doi":"https://doi.org/10.1007/978-3-031-91835-3_17","title":"Enhancing Weed Detection Performance by\u00a0Means of\u00a0GenAI-Based Image Augmentation","display_name":"Enhancing Weed Detection Performance by\u00a0Means of\u00a0GenAI-Based Image Augmentation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410757981","doi":"https://doi.org/10.1007/978-3-031-91835-3_17"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-91835-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-91835-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-91835-3_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-91835-3_17.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012031967","display_name":"Sourav Modak","orcid":"https://orcid.org/0009-0006-7759-0864"},"institutions":[{"id":"https://openalex.org/I110079840","display_name":"University of Hohenheim","ror":"https://ror.org/00b1c9541","country_code":"DE","type":"education","lineage":["https://openalex.org/I110079840"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sourav Modak","raw_affiliation_strings":["Department of Artificial Intelligence in Agricultural Engineering and Computational Science Hub, University of Hohenheim, Garbenstra\u00dfe 9, 70599, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence in Agricultural Engineering and Computational Science Hub, University of Hohenheim, Garbenstra\u00dfe 9, 70599, Stuttgart, Germany","institution_ids":["https://openalex.org/I110079840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045271767","display_name":"Anthony Stein","orcid":"https://orcid.org/0000-0002-1808-9758"},"institutions":[{"id":"https://openalex.org/I110079840","display_name":"University of Hohenheim","ror":"https://ror.org/00b1c9541","country_code":"DE","type":"education","lineage":["https://openalex.org/I110079840"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anthony Stein","raw_affiliation_strings":["Department of Artificial Intelligence in Agricultural Engineering and Computational Science Hub, University of Hohenheim, Garbenstra\u00dfe 9, 70599, Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence in Agricultural Engineering and Computational Science Hub, University of Hohenheim, Garbenstra\u00dfe 9, 70599, Stuttgart, Germany","institution_ids":["https://openalex.org/I110079840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012031967"],"corresponding_institution_ids":["https://openalex.org/I110079840"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":22.4138,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.99439981,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"252","last_page":"266"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9426000118255615,"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/computer-science","display_name":"Computer science","score":0.8247308731079102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48408496379852295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4817214608192444},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.45207759737968445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4303325116634369},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.05128827691078186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247308731079102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48408496379852295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4817214608192444},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.45207759737968445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4303325116634369},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.05128827691078186},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-91835-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-91835-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-91835-3_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-91835-3_17","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-91835-3_17","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-91835-3_17.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7607101546","display_name":null,"funder_award_id":"FKZ 13","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410757981.pdf","grobid_xml":"https://content.openalex.org/works/W4410757981.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1980148204","https://openalex.org/W1981956054","https://openalex.org/W2010036662","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W3020996329","https://openalex.org/W4308757313","https://openalex.org/W4309028162","https://openalex.org/W4312933868","https://openalex.org/W4319949132","https://openalex.org/W4321459030","https://openalex.org/W4382462760","https://openalex.org/W4387213918","https://openalex.org/W4390874575","https://openalex.org/W4391344915","https://openalex.org/W4392203499","https://openalex.org/W4401212581","https://openalex.org/W6601700763","https://openalex.org/W6603963165","https://openalex.org/W6607687417","https://openalex.org/W6829738333"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Abstract":[0],"Precise":[1],"weed":[2,26,107],"management":[3],"is":[4,51],"essential":[5],"for":[6,24,106,137,154],"sustaining":[7],"crop":[8],"productivity":[9],"and":[10,18,71,76,101,151,173],"ecological":[11],"balance.":[12],"Traditional":[13],"herbicide":[14],"applications":[15],"face":[16],"economic":[17],"environmental":[19],"challenges,":[20],"emphasizing":[21],"the":[22,88,99,114,121,163],"need":[23],"intelligent":[25],"control":[27],"systems":[28,34],"powered":[29],"by":[30],"deep":[31],"learning.":[32],"These":[33],"require":[35],"vast":[36],"amounts":[37],"of":[38,44,46,103,116,123,166],"high-quality":[39],"training":[40,48,104],"data.":[41],"The":[42,140],"reality":[43],"scarcity":[45],"well-annotated":[47],"data,":[49],"however,":[50],"often":[52],"addressed":[53],"through":[54],"generating":[55],"more":[56],"data":[57,59,168],"using":[58],"augmentation.":[60],"Nevertheless,":[61],"conventional":[62],"augmentation":[63,84],"techniques":[64],"such":[65,133],"as":[66,134],"random":[67],"flipping,":[68],"color":[69],"changes,":[70],"blurring":[72],"lack":[73],"sufficient":[74],"fidelity":[75],"diversity.":[77],"This":[78],"paper":[79,112],"investigates":[80],"a":[81],"generative":[82,159],"AI-based":[83],"technique":[85],"that":[86,97],"uses":[87],"Stable":[89],"Diffusion":[90],"model":[91,171],"to":[92,169],"produce":[93],"diverse":[94],"synthetic":[95,118,167],"images":[96,119],"improve":[98],"quantity":[100],"quality":[102],"datasets":[105],"detection":[108,125],"models.":[109],"Moreover,":[110],"this":[111],"explores":[113],"impact":[115],"these":[117],"on":[120,129],"performance":[122],"real-time":[124],"systems,":[126],"thus":[127],"focusing":[128],"compact":[130],"CNN-based":[131],"models":[132,156],"YOLO":[135,155],"nano":[136],"edge":[138],"devices.":[139],"experimental":[141],"results":[142],"show":[143],"substantial":[144],"improvements":[145],"in":[146],"mean":[147],"Average":[148],"Precision":[149],"(mAP50":[150],"mAP50-95)":[152],"scores":[153],"trained":[157],"with":[158],"AI-augmented":[160],"datasets,":[161],"demonstrating":[162],"promising":[164],"potential":[165],"enhance":[170],"robustness":[172],"accuracy.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}