{"id":"https://openalex.org/W2346828690","doi":"https://doi.org/10.1142/s0219691316500272","title":"Wavelet-based spectral descriptors for detection of damage in sunflower seeds","display_name":"Wavelet-based spectral descriptors for detection of damage in sunflower seeds","publication_year":2016,"publication_date":"2016-05-03","ids":{"openalex":"https://openalex.org/W2346828690","doi":"https://doi.org/10.1142/s0219691316500272","mag":"2346828690"},"language":"en","primary_location":{"id":"doi:10.1142/s0219691316500272","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691316500272","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"},"type":"article","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/A5028003455","display_name":"Thelma S\u00e1fadi","orcid":"https://orcid.org/0000-0002-4918-300X"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thelma S\u00e1fadi","raw_affiliation_strings":["Departamento de Ci\u00eancias Exatas, UFLA, Lavras, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Ci\u00eancias Exatas, UFLA, Lavras, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111161775","display_name":"Minkyoung Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minkyoung Kang","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, US","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041928005","display_name":"Isabel C. C. Leite","orcid":null},"institutions":[{"id":"https://openalex.org/I130913789","display_name":"Instituto Federal da Bahia","ror":"https://ror.org/01tzdej37","country_code":"BR","type":"education","lineage":["https://openalex.org/I130913789"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Isabel C. C. Leite","raw_affiliation_strings":["Departamento de Matematica, IFBa, Salvador, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Matematica, IFBa, Salvador, Brazil","institution_ids":["https://openalex.org/I130913789"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029550725","display_name":"Brani Vidakovi\u0107","orcid":"https://orcid.org/0000-0001-9155-9325"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brani Vidakovi\u0107","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, US","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.474,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63938263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"14","issue":"04","first_page":"1650027","last_page":"1650027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9955999851226807,"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":0.9955999851226807,"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":0.9943000078201294,"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":0.9585000276565552,"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/sunflower","display_name":"Sunflower","score":0.7054797410964966},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6325470805168152},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6084952354431152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5929121971130371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5696032047271729},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5170424580574036},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4870226979255676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36427032947540283},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08345845341682434}],"concepts":[{"id":"https://openalex.org/C2779197568","wikidata":"https://www.wikidata.org/wiki/Q423986","display_name":"Sunflower","level":2,"score":0.7054797410964966},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6325470805168152},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6084952354431152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5929121971130371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5696032047271729},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5170424580574036},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4870226979255676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36427032947540283},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08345845341682434},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219691316500272","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219691316500272","pdf_url":null,"source":{"id":"https://openalex.org/S56986848","display_name":"International Journal of Wavelets Multiresolution and Information Processing","issn_l":"0219-6913","issn":["0219-6913","1793-690X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Wavelets, Multiresolution and Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1515484043","https://openalex.org/W2083283368","https://openalex.org/W2156909104","https://openalex.org/W2315126453"],"related_works":["https://openalex.org/W2017229880","https://openalex.org/W4388270691","https://openalex.org/W3169570482","https://openalex.org/W2792519817","https://openalex.org/W4379468911","https://openalex.org/W2227594663","https://openalex.org/W2240807121","https://openalex.org/W2360480780","https://openalex.org/W2502870125","https://openalex.org/W2415034784"],"abstract_inverted_index":{"Analysis":[0],"of":[1,45,48,72,103],"seeds":[2],"is":[3],"essential":[4],"for":[5,42,111,118],"determining":[6],"seed":[7,20,87],"lot":[8],"quality":[9,21],"and":[10,84,97,113,116,122,155],"hence":[11],"its":[12,152,160],"sowing":[13],"value.":[14],"Although":[15,125],"not":[16],"fully":[17],"objective,":[18],"assessing":[19],"with":[22,69],"radiographic":[23,46],"images":[24,47,54,83],"has":[25],"been":[26],"used":[27],"as":[28,88,133],"alternative":[29],"to":[30,80,108,145,148],"standard":[31],"laboratory":[32],"testing.":[33],"Here,":[34],"we":[35],"applied":[36],"2D":[37],"scale-mixing":[38,153],"non-decimated":[39,161],"wavelet":[40],"transform":[41,142],"automatic":[43],"processing":[44],"sunflower":[49],"seeds.":[50,124],"From":[51],"the":[52,70,82,101],"transformed":[53],"several":[55],"spectral":[56,63,138],"indices":[57],"are":[58,66],"derived.":[59],"These":[60],"descriptors":[61],"involve":[62],"slopes":[64],"which":[65],"directly":[67],"connected":[68],"degree":[71],"image":[73,149],"regularity.":[74],"A":[75],"methodology":[76],"paradigm":[77],"was":[78,106],"developed":[79],"analyze":[81],"classify":[85],"each":[86],"damaged":[89,112],"or":[90],"undamaged":[91],"(slight,":[92],"full).":[93],"By":[94],"considering":[95],"binary":[96],"multinomial":[98],"supervised":[99],"classification,":[100],"rate":[102],"correct":[104],"classification":[105],"found":[107],"be":[109,146],"82%":[110],"full":[114,123],"seeds,":[115],"57%":[117],"damaged,":[119,121],"slightly":[120],"in":[126,136,157],"principle":[127],"many":[128],"different":[129],"transforms":[130],"can":[131],"serve":[132],"a":[134],"basis":[135],"deriving":[137],"indices,":[139],"this":[140],"particular":[141],"proved":[143],"out":[144],"sensitive":[147],"anisotropy":[150],"(by":[151,159],"nature),":[154],"stable":[156],"computation":[158],"nature).":[162]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
