{"id":"https://openalex.org/W2900530850","doi":"https://doi.org/10.1109/igarss.2018.8519136","title":"Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data","display_name":"Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2900530850","doi":"https://doi.org/10.1109/igarss.2018.8519136","mag":"2900530850"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519136","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://repositorio.inesctec.pt/bitstreams/17490789-b881-4aca-bd55-020f05d43557/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022231017","display_name":"Jon\u00e1\u0161 Hru\u0161ka","orcid":"https://orcid.org/0000-0002-6132-3220"},"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":"Jonas Hruska","raw_affiliation_strings":["University of Tr\u00e1s-os-Montes e Alto Douro"],"affiliations":[{"raw_affiliation_string":"University of Tr\u00e1s-os-Montes e Alto Douro","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052054587","display_name":"Telmo Ad\u00e3o","orcid":"https://orcid.org/0000-0002-2727-0014"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Telmo Adao","raw_affiliation_strings":["INESC Technology and Science (INESC-TEC)"],"affiliations":[{"raw_affiliation_string":"INESC Technology and Science (INESC-TEC)","institution_ids":["https://openalex.org/I4210166615"]}]},{"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\u00e1s-os-Montes e Alto Douro"],"affiliations":[{"raw_affiliation_string":"University of Tr\u00e1s-os-Montes e Alto Douro","institution_ids":["https://openalex.org/I155381812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034959467","display_name":"Pedro Marques","orcid":"https://orcid.org/0000-0003-0240-5469"},"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":"Pedro Marques","raw_affiliation_strings":["University of Tr\u00e1s-os-Montes e Alto Douro"],"affiliations":[{"raw_affiliation_string":"University of Tr\u00e1s-os-Montes e Alto Douro","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/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Emanuel Peres","raw_affiliation_strings":["INESC Technology and Science (INESC-TEC)"],"affiliations":[{"raw_affiliation_string":"INESC Technology and Science (INESC-TEC)","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977986","display_name":"Ant\u00f3nio Sousa","orcid":"https://orcid.org/0000-0002-9269-6855"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Antonio Sousa","raw_affiliation_strings":["INESC Technology and Science (INESC-TEC)"],"affiliations":[{"raw_affiliation_string":"INESC Technology and Science (INESC-TEC)","institution_ids":["https://openalex.org/I4210166615"]}]},{"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/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Raul Morais","raw_affiliation_strings":["INESC Technology and Science (INESC-TEC)"],"affiliations":[{"raw_affiliation_string":"INESC Technology and Science (INESC-TEC)","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066556659","display_name":"Joaquim J. Sousa","orcid":"https://orcid.org/0000-0003-4533-930X"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joaquim Joao Sousa","raw_affiliation_strings":["INESC Technology and Science (INESC-TEC)"],"affiliations":[{"raw_affiliation_string":"INESC Technology and Science (INESC-TEC)","institution_ids":["https://openalex.org/I4210166615"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.925,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":11,"citation_normalized_percentile":{"value":0.856061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":null,"issue":null,"first_page":"9063","last_page":"9066"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.995,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.995,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9892,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9879,"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/data-processing","display_name":"Data Processing","score":0.42095476}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.95931816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6835358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5601789},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.50453365},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48178503},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.42095476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33219597},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519136","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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/8136","pdf_url":"http://repositorio.inesctec.pt/bitstreams/17490789-b881-4aca-bd55-020f05d43557/download","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":true,"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":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://repositorio.inesctec.pt/handle/123456789/8136","pdf_url":"http://repositorio.inesctec.pt/bitstreams/17490789-b881-4aca-bd55-020f05d43557/download","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":true,"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":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":32,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1843779453","https://openalex.org/W2008835672","https://openalex.org/W2014643551","https://openalex.org/W2029316659","https://openalex.org/W2033272835","https://openalex.org/W2049189005","https://openalex.org/W2063102607","https://openalex.org/W2097915756","https://openalex.org/W2111838090","https://openalex.org/W2124706543","https://openalex.org/W2131697388","https://openalex.org/W2140991832","https://openalex.org/W2144348684","https://openalex.org/W2148791530","https://openalex.org/W2150990614","https://openalex.org/W2160782184","https://openalex.org/W2223949380","https://openalex.org/W2314785379","https://openalex.org/W2316226477","https://openalex.org/W2470368200","https://openalex.org/W2547846938","https://openalex.org/W2556460662","https://openalex.org/W2592141703","https://openalex.org/W2604194943","https://openalex.org/W2733343268","https://openalex.org/W2753403518","https://openalex.org/W2761176843","https://openalex.org/W2764276316","https://openalex.org/W2765366036","https://openalex.org/W3101640299","https://openalex.org/W4240485910"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W3209970181","https://openalex.org/W3034375524","https://openalex.org/W2072166414","https://openalex.org/W2070598848","https://openalex.org/W2060875994","https://openalex.org/W2051282630","https://openalex.org/W2044184146","https://openalex.org/W2027399350","https://openalex.org/W2000725643"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"progressed":[3],"significantly":[4],"in":[5,60],"the":[6,10,42,67,71],"last":[7],"decade,":[8],"evolving":[9],"computer-based":[11],"learning/prediction":[12],"paradigm":[13],"to":[14,54,62,90],"a":[15,49,81],"much":[16],"more":[17,38],"effective":[18,72,95],"class":[19],"of":[20,78],"models":[21],"known":[22],"as":[23],"Deep":[24],"learning":[25],"(DL).":[26],"Since":[27],"then,":[28],"hyperspectral":[29,55,87],"data":[30,56,88],"processing":[31,57,89],"relying":[32],"on":[33,86],"DL":[34],"approaches":[35,68],"is":[36,58,101],"getting":[37],"popular,":[39],"competing":[40],"with":[41],"traditional":[43],"classification":[44],"techniques.":[45],"In":[46],"this":[47,76],"paper,":[48],"valid":[50],"ML/DL-based":[51],"works":[52],"applied":[53],"reviewed":[59],"order":[61],"get":[63],"an":[64],"insight":[65],"regarding":[66],"available":[69],"for":[70,97],"meaning":[73],"extraction":[74],"from":[75],"type":[77],"data.":[79],"Next,":[80],"general":[82],"DL-based":[83],"methodology":[84],"focusing":[85],"provide":[91],"farmers":[92],"and":[93],"winemakers":[94],"tools":[96],"earlier":[98],"threat":[99],"detection":[100],"proposed.":[102]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2900530850","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-06T14:15:19.070266","created_date":"2018-11-29"}