{"id":"https://openalex.org/W4408111466","doi":"https://doi.org/10.5220/0013157000003912","title":"Herbicide Efficacy Prediction Based on Object Segmentation of Glasshouse Imagery","display_name":"Herbicide Efficacy Prediction Based on Object Segmentation of Glasshouse Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408111466","doi":"https://doi.org/10.5220/0013157000003912"},"language":"en","primary_location":{"id":"doi:10.5220/0013157000003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013157000003912","pdf_url":null,"source":null,"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":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0013157000003912","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059205348","display_name":"Majedaldein Almahasneh","orcid":"https://orcid.org/0000-0002-5748-1760"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Majedaldein Almahasneh","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104245410","display_name":"Baihua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Baihua Li","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077762860","display_name":"Haibin Cai","orcid":"https://orcid.org/0000-0002-2759-3665"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haibin Cai","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017584208","display_name":"Nasir Rajabi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nasir Rajabi","raw_affiliation_strings":["Moa Technology, Oxford, U.K"],"affiliations":[{"raw_affiliation_string":"Moa Technology, Oxford, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069755667","display_name":"Laura Davies","orcid":"https://orcid.org/0000-0003-3574-1610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laura Davies","raw_affiliation_strings":["Moa Technology, Oxford, U.K"],"affiliations":[{"raw_affiliation_string":"Moa Technology, Oxford, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104170430","display_name":"Qinggang Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qinggang Meng","raw_affiliation_strings":["Department of Computer Science, Loughborough University, Loughborough, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, U.K","institution_ids":["https://openalex.org/I143804889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059205348"],"corresponding_institution_ids":["https://openalex.org/I143804889"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02646676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.7601000070571899,"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":0.7601000070571899,"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":0.6265118718147278},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.601873517036438},{"id":"https://openalex.org/keywords/greenhouse","display_name":"Greenhouse","score":0.5959064364433289},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.583795964717865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5521119236946106},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5397471189498901},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5041266679763794},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.08749163150787354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265118718147278},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.601873517036438},{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.5959064364433289},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.583795964717865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521119236946106},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5397471189498901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5041266679763794},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.08749163150787354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5220/0013157000003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013157000003912","pdf_url":null,"source":null,"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":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/28173884","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"doi:10.5220/0013157000003912","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013157000003912","pdf_url":null,"source":null,"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":"Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W234340964","https://openalex.org/W4309832218","https://openalex.org/W2166797008","https://openalex.org/W3039676608","https://openalex.org/W3193919099","https://openalex.org/W2351877779","https://openalex.org/W2960233689","https://openalex.org/W2364328341","https://openalex.org/W2916988783","https://openalex.org/W1522196789"],"abstract_inverted_index":{"<p":[0],"dir=\"ltr\">Abstract:":[1],"In":[2],"this":[3],"work,":[4],"we":[5],"explore":[6],"the":[7,19,42,63,79,107,136,156,164,168],"possibility":[8],"of":[9,34,102,112,138,158,170],"incorporating":[10],"deep":[11],"learning":[12],"(DL)":[13],"to":[14,40,77,134,155,166],"propose":[15],"a":[16,83,89,99,116,129],"solution":[17,117],"for":[18,118,142],"herbicidal":[20,80],"efficacy":[21,120],"prediction":[22,121,169],"problem":[23],"based":[24,122],"on":[25,123,150],"glasshouse":[26,124],"(GH)":[27],"images.":[28,125],"Our":[29],"approach":[30,133],"utilises":[31],"RGB":[32],"images":[33,39,175],"treated":[35],"and":[36,44,53,66,95,109,153],"control":[37],"plant":[38,50,131,151],"perform":[41],"analysis":[43],"operates":[45],"in":[46,82],"three":[47],"stages,":[48],"1)":[49],"region":[51],"detection":[52,152],"2)":[54],"leaf":[55],"segmentation,":[56],"where":[57,72],"growth":[58],"characteristics":[59],"are":[60,75],"inferred":[61],"about":[62],"tested":[64],"plant,":[65],"3)":[67],"herbicide":[68,119,171],"activity":[69,81,96,172],"estimation":[70],"stage,":[71],"these":[73],"metrics":[74],"used":[76],"estimate":[78],"contrastive":[84],"manner.":[85],"The":[86],"model":[87],"shows":[88],"desirable":[90],"performance":[91],"across":[92],"different":[93],"species":[94],"levels,":[97],"with":[98],"mean":[100],"F1-score":[101],"0.950.":[103],"These":[104],"results":[105],"demonstrate":[106],"reliability":[108],"promising":[110],"potential":[111],"our":[113,143,159,161],"framework":[114],"as":[115],"We":[126],"also":[127],"present":[128],"semi-automatic":[130],"labelling":[132],"address":[135],"lack":[137],"available":[139],"public":[140],"datasets":[141],"target":[144],"task.":[145],"While":[146],"existing":[147],"works":[148],"focus":[149],"phenotyping,":[154],"best":[157],"knowledge,":[160],"work":[162],"is":[163],"first":[165],"tackle":[167],"from":[173],"GH":[174],"using":[176],"DL.":[177]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
