{"id":"https://openalex.org/W4313196907","doi":"https://doi.org/10.1109/igarss46834.2022.9884946","title":"Segmentation as a Preprocessing Tool for Automatic Grapevine Classification","display_name":"Segmentation as a Preprocessing Tool for Automatic Grapevine Classification","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4313196907","doi":"https://doi.org/10.1109/igarss46834.2022.9884946"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884946","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016278344","display_name":"Gabriel A. Carneiro","orcid":"https://orcid.org/0000-0001-7097-3260"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Gabriel Antonio Carneiro","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080545852","display_name":"Lu\u00eds P\u00e1dua","orcid":"https://orcid.org/0000-0002-7570-9773"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Padua","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020489061","display_name":"Emanuel Peres","orcid":"https://orcid.org/0000-0001-5669-7976"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Emanuel Peres","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060198162","display_name":"Raul Morais","orcid":"https://orcid.org/0000-0003-2440-9153"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Raul Morais","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066556659","display_name":"Joaquim J. Sousa","orcid":"https://orcid.org/0000-0003-4533-930X"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joaquim J. Sousa","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103099779","display_name":"A. Cunha","orcid":"https://orcid.org/0000-0002-3458-7693"},"institutions":[{"id":"https://openalex.org/I155381812","display_name":"University of Tr\u00e1s-os-Montes and Alto Douro","ror":"https://ror.org/03qc8vh97","country_code":"PT","type":"education","lineage":["https://openalex.org/I155381812"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Antonio Cunha","raw_affiliation_strings":["University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tr&#x00E1;s-os-Montes e Alto Douro,Vila Real,Portugal","institution_ids":["https://openalex.org/I155381812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155381812"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6053","last_page":"6056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11796","display_name":"Horticultural and Viticultural Research","score":0.9994999766349792,"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/T11796","display_name":"Horticultural and Viticultural Research","score":0.9994999766349792,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9837999939918518,"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/T10750","display_name":"Fermentation and Sensory Analysis","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7650465965270996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7376161813735962},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7256456017494202},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6423739790916443},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4820747971534729},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4776257872581482},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.453592985868454}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7650465965270996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376161813735962},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7256456017494202},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6423739790916443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4820747971534729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4776257872581482},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.453592985868454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884946","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2516809705","https://openalex.org/W2970191212","https://openalex.org/W2989192967","https://openalex.org/W3081995103","https://openalex.org/W3206335871"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2565703248","https://openalex.org/W187246281","https://openalex.org/W2143548620"],"abstract_inverted_index":{"The":[0,94,107],"grapevine":[1,85],"variety":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,87,124],"wine":[8],"chain":[9],"production,":[10],"thus":[11],"identifying":[12,24],"it":[13,161],"is":[14,97],"crucial":[15],"for":[16,23,135],"control":[17],"activities.":[18],"However,":[19],"the":[20,25,59,77,84,88,121,142,146,153],"specialists":[21],"responsible":[22],"different":[26],"varieties,":[27],"mainly":[28],"through":[29],"visual":[30],"analysis,":[31],"are":[32,117],"disappearing.":[33],"In":[34,69],"this":[35,70],"scenario,":[36],"Deep":[37],"Learning":[38],"(DL)":[39],"classification":[40,56,90,125],"techniques":[41],"become":[42],"a":[43,74,100,150],"possible":[44],"solution":[45],"to":[46,62,119,148],"handle":[47],"professionals'":[48],"scarcity.":[49],"Nevertheless,":[50],"previous":[51],"experiments":[52],"show":[53],"that":[54,160],"trained":[55,98,139,144],"models":[57],"use":[58],"background":[60,81],"information":[61],"make":[63],"decisions,":[64],"which":[65],"should":[66],"be":[67],"avoided.":[68],"paper,":[71],"we":[72],"present":[73],"study":[75],"allowing":[76],"assessment":[78],"of":[79,128],"removing":[80],"regions":[82,166],"from":[83],"images":[86],"improvement":[89],"using":[91],"DL":[92],"models.":[93,140],"Xception":[95],"model":[96,143],"with":[99,145],"normal":[101],"dataset":[102],"and":[103,114,130,137],"its":[104],"segmented":[105],"version.":[106],"Local":[108],"Interpretable":[109],"Model-Agnostic":[110],"Explanations":[111],"(LIME),":[112],"Grad-CAM,":[113],"Grad-CAM++":[115],"approaches":[116,158],"used":[118],"visualize":[120],"segmentation":[122],"impact":[123],"decisions.":[126,169],"F1-score":[127],"0.92":[129],"0.94":[131],"were":[132],"achieved,":[133],"respectively,":[134],"segmented-dataset":[136,147],"normal-dataset":[138],"Despite":[141],"achieve":[149],"worse":[151],"performance,":[152],"Explainable":[154],"Artificial":[155],"Intelligence":[156],"(XAI)":[157],"showed":[159],"looks":[162],"into":[163],"more":[164],"reliable":[165],"when":[167],"making":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
