{"id":"https://openalex.org/W4397002176","doi":"https://doi.org/10.1007/s11760-024-03247-5","title":"Various tomato infection discrimination using spectroscopy","display_name":"Various tomato infection discrimination using spectroscopy","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4397002176","doi":"https://doi.org/10.1007/s11760-024-03247-5"},"language":"en","primary_location":{"id":"doi:10.1007/s11760-024-03247-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03247-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03247-5.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03247-5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015089536","display_name":"Bogdan Ruszczak","orcid":"https://orcid.org/0000-0003-1089-1778"},"institutions":[{"id":"https://openalex.org/I119217307","display_name":"Opole University of Technology","ror":"https://ror.org/05sj5k538","country_code":"PL","type":"education","lineage":["https://openalex.org/I119217307"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bogdan Ruszczak","raw_affiliation_strings":["Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1089-1778","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland","institution_ids":["https://openalex.org/I119217307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032264597","display_name":"Krzysztof Smyka\u0142a","orcid":"https://orcid.org/0000-0003-1970-5388"},"institutions":[{"id":"https://openalex.org/I119217307","display_name":"Opole University of Technology","ror":"https://ror.org/05sj5k538","country_code":"PL","type":"education","lineage":["https://openalex.org/I119217307"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Smyka\u0142a","raw_affiliation_strings":["Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland","Research and Development Department, QZ Solutions Sp. z o.o., Technologiczna 2 Street, 45-839, Opole, Opolskie, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1970-5388","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland","institution_ids":["https://openalex.org/I119217307"]},{"raw_affiliation_string":"Research and Development Department, QZ Solutions Sp. z o.o., Technologiczna 2 Street, 45-839, Opole, Opolskie, Poland","institution_ids":["https://openalex.org/I119217307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003029002","display_name":"Micha\u0142 Tomaszewski","orcid":"https://orcid.org/0000-0001-6672-3971"},"institutions":[{"id":"https://openalex.org/I119217307","display_name":"Opole University of Technology","ror":"https://ror.org/05sj5k538","country_code":"PL","type":"education","lineage":["https://openalex.org/I119217307"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Tomaszewski","raw_affiliation_strings":["Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6672-3971","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska Street 76, 45-758, Opole, Opolskie, Poland","institution_ids":["https://openalex.org/I119217307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035439105","display_name":"Pedro Navarro","orcid":"https://orcid.org/0000-0001-8367-2934"},"institutions":[{"id":"https://openalex.org/I3123212020","display_name":"Universidad Polit\u00e9cnica de Cartagena","ror":"https://ror.org/02k5kx966","country_code":"ES","type":"education","lineage":["https://openalex.org/I3123212020"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Javier Navarro\u00a0Lorente","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Ingenier\u00eda de Telecomunicaci\u00f3n (DSIE), Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, 30202, Cartagena, Region of Murcia, Spain"],"raw_orcid":"https://orcid.org/0000-0001-8367-2934","affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Ingenier\u00eda de Telecomunicaci\u00f3n (DSIE), Universidad Polit\u00e9cnica de Cartagena, Campus Muralla del Mar, 30202, Cartagena, Region of Murcia, Spain","institution_ids":["https://openalex.org/I3123212020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015089536"],"corresponding_institution_ids":["https://openalex.org/I119217307"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.2339,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75049829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"6-7","first_page":"5461","last_page":"5476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9987999796867371,"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":0.9987999796867371,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9958999752998352,"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":0.9805999994277954,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.7587572336196899},{"id":"https://openalex.org/keywords/septoria","display_name":"Septoria","score":0.6357115507125854},{"id":"https://openalex.org/keywords/blight","display_name":"Blight","score":0.5601156949996948},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5223351716995239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087185263633728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37121742963790894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35589075088500977},{"id":"https://openalex.org/keywords/horticulture","display_name":"Horticulture","score":0.32412445545196533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3023947477340698},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2370334267616272},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14597484469413757},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12083002924919128},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.10073038935661316}],"concepts":[{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.7587572336196899},{"id":"https://openalex.org/C2776008901","wikidata":"https://www.wikidata.org/wiki/Q310475","display_name":"Septoria","level":2,"score":0.6357115507125854},{"id":"https://openalex.org/C182076605","wikidata":"https://www.wikidata.org/wiki/Q4273292","display_name":"Blight","level":2,"score":0.5601156949996948},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5223351716995239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087185263633728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37121742963790894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35589075088500977},{"id":"https://openalex.org/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.32412445545196533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3023947477340698},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2370334267616272},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14597484469413757},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12083002924919128},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.10073038935661316}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11760-024-03247-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03247-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03247-5.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11760-024-03247-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11760-024-03247-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11760-024-03247-5.pdf","source":{"id":"https://openalex.org/S156904493","display_name":"Signal Image and Video Processing","issn_l":"1863-1703","issn":["1863-1703","1863-1711"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal, Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5699999928474426},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4397002176.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W89552","https://openalex.org/W632173087","https://openalex.org/W1567713933","https://openalex.org/W1964670723","https://openalex.org/W2018334443","https://openalex.org/W2022053423","https://openalex.org/W2028606616","https://openalex.org/W2096518822","https://openalex.org/W2096608957","https://openalex.org/W2122344139","https://openalex.org/W2144546967","https://openalex.org/W2416296674","https://openalex.org/W2470368200","https://openalex.org/W2473156356","https://openalex.org/W2492191406","https://openalex.org/W2560779390","https://openalex.org/W2589020030","https://openalex.org/W2614850301","https://openalex.org/W2714342494","https://openalex.org/W2743023164","https://openalex.org/W2780615681","https://openalex.org/W2789107426","https://openalex.org/W2789255992","https://openalex.org/W2791303772","https://openalex.org/W2792754646","https://openalex.org/W2799848215","https://openalex.org/W2804953474","https://openalex.org/W2945491155","https://openalex.org/W2947465169","https://openalex.org/W2954097278","https://openalex.org/W2955715150","https://openalex.org/W2963363786","https://openalex.org/W2965748829","https://openalex.org/W2990127112","https://openalex.org/W2995726119","https://openalex.org/W3006883177","https://openalex.org/W3011357505","https://openalex.org/W3046717124","https://openalex.org/W3084731856","https://openalex.org/W3087949427","https://openalex.org/W3091788134","https://openalex.org/W3125103848","https://openalex.org/W3131094981","https://openalex.org/W3133739066","https://openalex.org/W3139370140","https://openalex.org/W3143572630","https://openalex.org/W3181148308","https://openalex.org/W3198066570","https://openalex.org/W3210273466","https://openalex.org/W3216715125","https://openalex.org/W4213240076","https://openalex.org/W4221109190","https://openalex.org/W4225002411","https://openalex.org/W4229042143","https://openalex.org/W4235243453","https://openalex.org/W4280638333","https://openalex.org/W4280646128","https://openalex.org/W4282915842","https://openalex.org/W4282971006","https://openalex.org/W4283156431","https://openalex.org/W4286775354","https://openalex.org/W4287511645","https://openalex.org/W4292554278","https://openalex.org/W4309090405","https://openalex.org/W4316465086","https://openalex.org/W4321600596","https://openalex.org/W4366281531","https://openalex.org/W4366769853","https://openalex.org/W4375862316","https://openalex.org/W4376223861","https://openalex.org/W4380322553","https://openalex.org/W4382703349","https://openalex.org/W4384029918","https://openalex.org/W4385218088","https://openalex.org/W4385484298","https://openalex.org/W4385950026","https://openalex.org/W4387214702","https://openalex.org/W4388564721"],"related_works":["https://openalex.org/W2965488490","https://openalex.org/W3035094226","https://openalex.org/W2144853466","https://openalex.org/W125438237","https://openalex.org/W2808860021","https://openalex.org/W2966561821","https://openalex.org/W2208128777","https://openalex.org/W4200057659","https://openalex.org/W2028243433","https://openalex.org/W281938176"],"abstract_inverted_index":{"Abstract":[0],"Diagnosing":[1],"plant":[2],"diseases":[3,51,76,117],"is":[4,28,91],"a":[5,29,33,92,139],"difficult":[6],"task,":[7],"but":[8],"it":[9],"could":[10],"be":[11],"made":[12],"easier":[13],"with":[14,146],"the":[15,21,38,46,55,69,147,154,181],"use":[16],"of":[17,32,58,68,77,142,176],"advanced":[18],"instrumentation":[19],"and":[20,52,72,75,131],"latest":[22],"machine":[23],"learning":[24],"techniques.":[25],"This":[26,95],"paper":[27],"further":[30],"development":[31],"previous":[34],"authors":[35],"study":[36,137],"by":[37,83],"authors,":[39],"which":[40,100,186],"has":[41],"been":[42],"extended":[43],"to":[44,53,85,104,160],"provide":[45],"classification":[47,164],"method":[48],"for":[49,61,107,120,180],"tomato":[50,111],"indicate":[54],"spectral":[56],"ranges":[57],"greatest":[59],"importance":[60],"this":[62,78,121],"process.":[63],"As":[64],"tomatoes":[65],"are":[66],"one":[67],"most":[70],"popular":[71],"consumed":[73],"vegetables,":[74],"crop":[79],"even":[80],"reduce":[81],"yields":[82],"up":[84],"80%":[86],"every":[87],"year,":[88],"their":[89],"detection":[90],"vague":[93],"topic.":[94],"manuscript":[96],"describes":[97],"research":[98],"in":[99,153],"spectroscopy":[101],"was":[102,178,187],"used":[103,138],"develop":[105],"methods":[106],"discriminating":[108],"between":[109],"selected":[110],"diseases.":[112],"The":[113,136,162],"following,":[114],"frequently":[115],"occurring":[116],"were":[118],"investigated":[119],"research:":[122],"anthracnose,":[123],"bacterial":[124],"speck,":[125],"early":[126],"blight,":[127],"late":[128],"blight":[129],",":[130],"Septoria":[132,190],"Leaf":[133,191],"Spot":[134,192],".":[135],"dataset":[140],"consisting":[141],"3877":[143],"measurements":[144],"taken":[145],"ASD":[148],"FieldSpec":[149],"4":[150],"Hi-Res":[151],"spectroradiometer":[152],"350\u20132500":[155],"nm":[156],"range":[157],"from":[158],"2019/09/10":[159],"2019/12/20.":[161],"highest":[163],"efficiency":[165],"(":[166],"$$F_1$$":[167],"<mml:math":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[169],"<mml:msub>":[170],"<mml:mi>F</mml:mi>":[171],"<mml:mn>1</mml:mn>":[172],"</mml:msub>":[173],"</mml:math>":[174],"score)":[175],"0.896":[177],"obtained":[179],"logistic":[182],"regression":[183],"based":[184],"model":[185],"evaluated":[188],"on":[189],"disease":[193],"records.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
