{"id":"https://openalex.org/W4405447828","doi":"https://doi.org/10.1080/21642583.2024.2437162","title":"Advanced segmentation models for automated capsicum peduncle detection in night-time greenhouse environments","display_name":"Advanced segmentation models for automated capsicum peduncle detection in night-time greenhouse environments","publication_year":2024,"publication_date":"2024-12-16","ids":{"openalex":"https://openalex.org/W4405447828","doi":"https://doi.org/10.1080/21642583.2024.2437162"},"language":"en","primary_location":{"id":"doi:10.1080/21642583.2024.2437162","doi":"https://doi.org/10.1080/21642583.2024.2437162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/21642583.2024.2437162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2437162?needAccess=true","source":{"id":"https://openalex.org/S2506060491","display_name":"Systems Science & Control Engineering","issn_l":"2164-2583","issn":["2164-2583"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems Science & Control Engineering","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2437162?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015263818","display_name":"Ayan Paul","orcid":"https://orcid.org/0000-0002-4584-2119","observed_orcids":["https://orcid.org/0000-0002-4584-2119"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ayan Paul","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062565472","display_name":"Rajendra Machavaram","orcid":"https://orcid.org/0000-0002-1178-2015","observed_orcids":["https://orcid.org/0000-0002-1178-2015"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajendra Machavaram","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5015263818"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":{"value":950,"currency":"GBP","value_usd":1165},"apc_paid":{"value":950,"currency":"GBP","value_usd":1165},"fwci":6.8014,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.97853985,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","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":0.9901999831199646,"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":0.9901999831199646,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.009600000455975533,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zero-shot-segmentation","display_name":"zero-shot segmentation","score":0.9810000061988831},{"id":"https://openalex.org/keywords/low-light-detection","display_name":"low-light detection","score":0.5379999876022339},{"id":"https://openalex.org/keywords/image-data-augmentation","display_name":"image augmentation","score":0.46799999475479126}],"concepts":[{"id":"https://openalex.org/C2777381025","wikidata":"https://www.wikidata.org/wiki/Q7160096","display_name":"Peduncle (anatomy)","level":2,"score":0.8621001243591309},{"id":"https://openalex.org/C32198211","wikidata":"https://www.wikidata.org/wiki/Q165044","display_name":"Greenhouse","level":2,"score":0.687318742275238},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6100712418556213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44797012209892273},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.42101240158081055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4061492085456848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3655894100666046},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3431493043899536},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.22102883458137512},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18763557076454163}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/21642583.2024.2437162","doi":"https://doi.org/10.1080/21642583.2024.2437162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/21642583.2024.2437162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2437162?needAccess=true","source":{"id":"https://openalex.org/S2506060491","display_name":"Systems Science & Control Engineering","issn_l":"2164-2583","issn":["2164-2583"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems Science & Control Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:17e6e23069ba4c3eb352f4c5730c2da9","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/17e6e23069ba4c3eb352f4c5730c2da9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems Science & Control Engineering, Vol 12, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/21642583.2024.2437162","doi":"https://doi.org/10.1080/21642583.2024.2437162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/21642583.2024.2437162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/21642583.2024.2437162?needAccess=true","source":{"id":"https://openalex.org/S2506060491","display_name":"Systems Science & Control Engineering","issn_l":"2164-2583","issn":["2164-2583"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-b","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems Science & Control Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6735000014305115,"display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325536","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405447828.pdf","grobid_xml":"https://content.openalex.org/works/W4405447828.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1979062633","https://openalex.org/W2077713771","https://openalex.org/W2162772680","https://openalex.org/W2185313191","https://openalex.org/W2404701427","https://openalex.org/W2464977781","https://openalex.org/W2515964264","https://openalex.org/W2520364485","https://openalex.org/W2571871533","https://openalex.org/W2757463642","https://openalex.org/W2794547127","https://openalex.org/W2801303530","https://openalex.org/W2810267090","https://openalex.org/W2910027480","https://openalex.org/W2974020870","https://openalex.org/W2996917687","https://openalex.org/W3004977026","https://openalex.org/W3037597928","https://openalex.org/W3080476698","https://openalex.org/W3120513023","https://openalex.org/W3174245562","https://openalex.org/W3202112348","https://openalex.org/W4213325971","https://openalex.org/W4281263529","https://openalex.org/W4304128474","https://openalex.org/W4320497759","https://openalex.org/W4321596265","https://openalex.org/W4377292093","https://openalex.org/W4386032930","https://openalex.org/W4386933625","https://openalex.org/W4388076558","https://openalex.org/W4388208113","https://openalex.org/W4390874575","https://openalex.org/W4392867620","https://openalex.org/W4392918284","https://openalex.org/W4392918317","https://openalex.org/W4394789054","https://openalex.org/W4396851628","https://openalex.org/W4403770406","https://openalex.org/W4404612908"],"related_works":["https://openalex.org/W4408461975","https://openalex.org/W7154081263","https://openalex.org/W4401392419","https://openalex.org/W7131378832","https://openalex.org/W4404649601","https://openalex.org/W4388208113","https://openalex.org/W4413196414","https://openalex.org/W4392867620","https://openalex.org/W7135034967","https://openalex.org/W7221662466"],"abstract_inverted_index":{"This":[0,137],"research":[1,164],"addresses":[2],"challenges":[3],"in":[4,8,153],"capsicum":[5,150],"peduncle":[6,98,151],"detection":[7,99,152],"night-time":[9],"greenhouse":[10],"environments,":[11,156],"including":[12],"low":[13],"light,":[14],"uneven":[15],"illumination,":[16],"and":[17,37,40,44,52,56,74,87,103,122,127,135,162,169],"shadows,":[18],"using":[19,58],"advanced":[20],"computer":[21],"vision":[22],"models.":[23],"A":[24],"dataset":[25,170],"of":[26,71,84,101,124,142],"200":[27],"images":[28,112],"was":[29,41],"curated,":[30],"capturing":[31],"diverse":[32],"distances,":[33],"heights,":[34],"occlusion":[35],"levels,":[36],"lighting":[38],"conditions,":[39],"rigorously":[42],"pre-processed":[43],"augmented.":[45],"Two":[46],"YOLOv9":[47],"instance":[48],"segmentation":[49,94,146],"variants,":[50],"YOLOv9c-seg":[51,61,117],"YOLOv9e-seg,":[53],"were":[54],"custom-trained":[55],"fine-tuned":[57],"Google":[59],"Colaboratory.":[60],"(56.3":[62],"MB)":[63,80],"achieved":[64,96],"superior":[65],"mean":[66,119],"Average":[67],"Precision":[68],"(mAP)":[69],"scores":[70,83],"0.751":[72],"(box)":[73,86],"0.725":[75],"(mask),":[76],"outperforming":[77,130],"YOLOv9e-seg":[78],"(121.9":[79],"with":[81,105],"mAP":[82],"0.674":[85],"0.658":[88],"(mask).":[89],"Grounded":[90,131],"SAM,":[91],"a":[92],"zero-shot":[93,145],"model,":[95],"maximum":[97],"confidences":[100],"59%":[102],"49%":[104],"positional":[106],"prompts.":[107],"Comparative":[108],"testing":[109],"on":[110],"50":[111],"containing":[113],"70":[114],"capsicums":[115],"showed":[116],"achieving":[118],"precision,":[120],"recall,":[121],"F1-scores":[123],"0.93,":[125],"0.86,":[126],"0.89,":[128],"respectively,":[129],"SAM":[132],"(0.86,":[133],"0.70,":[134],"0.77).":[136],"study":[138],"highlights":[139],"the":[140],"efficacy":[141],"single-shot":[143],"versus":[144],"models":[147],"for":[148,166],"automated":[149],"controlled":[154],"agricultural":[155],"offering":[157],"insights":[158],"into":[159],"model":[160,167],"performance":[161],"future":[163],"directions":[165],"optimization":[168],"expansion.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":16}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-12-17T00:00:00"}