{"id":"https://openalex.org/W7128533869","doi":"https://doi.org/10.18420/giljt2026_44","title":"Real-time visual-inertial approach for assessing weeding operation in viticulture","display_name":"Real-time visual-inertial approach for assessing weeding operation in viticulture","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128533869","doi":"https://doi.org/10.18420/giljt2026_44"},"language":"en","primary_location":{"id":"pmh:doi:10.18420/giljt2026_44","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text/Conference Paper"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/giljt2026_44","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078584574","display_name":"Syed Shaham Madni","orcid":"https://orcid.org/0000-0003-4806-2262"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Madni, Syed Shaham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071715504","display_name":"Nikos Tsoulias","orcid":"https://orcid.org/0000-0002-6248-4333"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsoulias, Nikos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042344448","display_name":"Burawich Pamornnak","orcid":"https://orcid.org/0000-0002-6931-7693"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pamornnak, Burawich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062952325","display_name":"Galibjon M. Sharipov","orcid":"https://orcid.org/0000-0001-8154-2618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharipov, Galibjon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Paraforos, Dimitrios S.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paraforos, Dimitrios S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078584574"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26638641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.8055999875068665,"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":0.8055999875068665,"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":0.05130000039935112,"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/T10774","display_name":"Weed Control and Herbicide Applications","score":0.018200000748038292,"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/agricultural-machinery","display_name":"Agricultural machinery","score":0.5008000135421753},{"id":"https://openalex.org/keywords/weed","display_name":"Weed","score":0.4968000054359436},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.4894999861717224},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4814999997615814},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.43860000371932983},{"id":"https://openalex.org/keywords/cover-crop","display_name":"Cover crop","score":0.367000013589859},{"id":"https://openalex.org/keywords/combine-harvester","display_name":"Combine harvester","score":0.36149999499320984},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.35749998688697815}],"concepts":[{"id":"https://openalex.org/C47136581","wikidata":"https://www.wikidata.org/wiki/Q16000047","display_name":"Agricultural machinery","level":3,"score":0.5008000135421753},{"id":"https://openalex.org/C2775891814","wikidata":"https://www.wikidata.org/wiki/Q101879","display_name":"Weed","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4814999997615814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4781999886035919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4471000134944916},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.43860000371932983},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.43540000915527344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42570000886917114},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3763999938964844},{"id":"https://openalex.org/C34070608","wikidata":"https://www.wikidata.org/wiki/Q3001783","display_name":"Cover crop","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C136360083","wikidata":"https://www.wikidata.org/wiki/Q26886","display_name":"Combine harvester","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C147273371","wikidata":"https://www.wikidata.org/wiki/Q2739141","display_name":"Weed control","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C175760724","wikidata":"https://www.wikidata.org/wiki/Q191258","display_name":"Crop rotation","level":3,"score":0.31850001215934753},{"id":"https://openalex.org/C2779110517","wikidata":"https://www.wikidata.org/wiki/Q1240788","display_name":"Supervisor","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2720000147819519},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C185078393","wikidata":"https://www.wikidata.org/wiki/Q313783","display_name":"Stereo camera","level":2,"score":0.2587999999523163}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.18420/giljt2026_44","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text/Conference Paper"},{"id":"doi:10.18420/giljt2026_44","is_oa":true,"landing_page_url":"https://doi.org/10.18420/giljt2026_44","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/giljt2026_44","is_oa":true,"landing_page_url":"https://doi.org/10.18420/giljt2026_44","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5396738052368164}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Weed":[0],"management":[1],"in":[2,33,86],"viticulture":[3],"presents":[4],"significant":[5],"complexity,":[6],"as":[7,20],"it":[8],"requires":[9],"minimizing":[10],"chemical":[11],"usage":[12],"for":[13,118,131],"weed":[14,51,120],"removal":[15],"while":[16],"retaining":[17],"certain":[18],"weeds":[19],"cover":[21],"crops":[22],"to":[23,44,65,82],"reduce":[24],"soil":[25,29],"erosion":[26],"and":[27,77,92,122],"maintain":[28],"moisture.":[30],"Recent":[31],"advances":[32],"agricultural":[34],"machinery":[35],"equipped":[36],"with":[37,59],"real-time":[38],"computer":[39],"vision":[40,58,129],"(CV)":[41],"offer":[42],"solutions":[43],"these":[45],"challenges,":[46],"yet":[47],"camera":[48,109],"movement":[49],"complicates":[50],"detection.":[52],"This":[53],"study":[54],"integrates":[55],"RGB-D":[56],"stereo":[57],"inertial":[60],"measurement":[61],"unit":[62],"(IMU)":[63],"data":[64],"address":[66],"this":[67],"issue.":[68],"The":[69,111],"proposed":[70],"method":[71],"uses":[72],"the":[73,101,125],"HSV":[74],"color":[75],"space":[76],"local":[78],"binary":[79],"patterns":[80],"(LBP)":[81],"extract":[83],"green":[84],"regions":[85],"soil.":[87],"By":[88],"overlaying":[89],"depth":[90],"information":[91],"applying":[93],"a":[94],"rotation":[95],"matrix":[96],"derived":[97],"from":[98],"IMU":[99],"data,":[100],"system":[102],"achieves":[103],"precise":[104],"three-dimensional":[105],"mapping":[106],"independent":[107],"of":[108,116,127],"orientation.":[110],"approach":[112],"achieved":[113],"an":[114],"R\u00b2":[115],"0.9":[117],"intra-row":[119],"detection":[121],"assessment,":[123],"highlighting":[124],"potential":[126],"IMU-stereo":[128],"integration":[130],"future":[132],"mechanical":[133],"weeding":[134],"systems.":[135]},"counts_by_year":[],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2026-02-11T00:00:00"}
