{"id":"https://openalex.org/W3046429102","doi":"https://doi.org/10.3390/s20154319","title":"Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging","display_name":"Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging","publication_year":2020,"publication_date":"2020-08-03","ids":{"openalex":"https://openalex.org/W3046429102","doi":"https://doi.org/10.3390/s20154319","mag":"3046429102","pmid":"https://pubmed.ncbi.nlm.nih.gov/32756355"},"language":"en","primary_location":{"id":"doi:10.3390/s20154319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154319","pdf_url":"https://www.mdpi.com/1424-8220/20/15/4319/pdf?version=1596442735","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"letter","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/15/4319/pdf?version=1596442735","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055441446","display_name":"Andr\u00e9 Dantas de Medeiros","orcid":"https://orcid.org/0000-0002-1097-0292"},"institutions":[{"id":"https://openalex.org/I146165071","display_name":"Universidade Federal de Vi\u00e7osa","ror":"https://ror.org/0409dgb37","country_code":"BR","type":"education","lineage":["https://openalex.org/I146165071"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Andr\u00e9 Dantas de Medeiros","raw_affiliation_strings":["Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079249515","display_name":"La\u00e9rcio Junio da Silva","orcid":"https://orcid.org/0000-0001-7202-0420"},"institutions":[{"id":"https://openalex.org/I146165071","display_name":"Universidade Federal de Vi\u00e7osa","ror":"https://ror.org/0409dgb37","country_code":"BR","type":"education","lineage":["https://openalex.org/I146165071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"La\u00e9rcio Junio da Silva","raw_affiliation_strings":["Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073485610","display_name":"Jo\u00e3o Paulo Oliveira Ribeiro","orcid":"https://orcid.org/0000-0002-1163-3546"},"institutions":[{"id":"https://openalex.org/I146165071","display_name":"Universidade Federal de Vi\u00e7osa","ror":"https://ror.org/0409dgb37","country_code":"BR","type":"education","lineage":["https://openalex.org/I146165071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Paulo Oliveira Ribeiro","raw_affiliation_strings":["Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046715135","display_name":"Kamylla Calzolari Ferreira","orcid":"https://orcid.org/0000-0002-8987-6687"},"institutions":[{"id":"https://openalex.org/I146165071","display_name":"Universidade Federal de Vi\u00e7osa","ror":"https://ror.org/0409dgb37","country_code":"BR","type":"education","lineage":["https://openalex.org/I146165071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Kamylla Calzolari Ferreira","raw_affiliation_strings":["Chemistry Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Chemistry Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052021474","display_name":"Jorge Tadeu Fim Rosas","orcid":"https://orcid.org/0000-0002-3244-4816"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jorge Tadeu Fim Rosas","raw_affiliation_strings":["Soil Science Department, University of S\u00e3o Paulo, Piracicaba SP 13418-260, Brazil"],"affiliations":[{"raw_affiliation_string":"Soil Science Department, University of S\u00e3o Paulo, Piracicaba SP 13418-260, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008108582","display_name":"Abra\u00e3o Almeida Santos","orcid":"https://orcid.org/0000-0001-5284-3294"},"institutions":[{"id":"https://openalex.org/I146165071","display_name":"Universidade Federal de Vi\u00e7osa","ror":"https://ror.org/0409dgb37","country_code":"BR","type":"education","lineage":["https://openalex.org/I146165071"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Abra\u00e3o Almeida Santos","raw_affiliation_strings":["Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","Entomology Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil"],"affiliations":[{"raw_affiliation_string":"Agronomy Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]},{"raw_affiliation_string":"Entomology Department, Federal University of Vi\u00e7osa, Vi\u00e7osa MG 36570-900, Brazil","institution_ids":["https://openalex.org/I146165071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076171323","display_name":"Cl\u00edssia Barboza da Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cl\u00edssia Barboza da Silva","raw_affiliation_strings":["Laboratory of Radiobiology and Environment, University of S\u00e3o Paulo-Center for Nuclear Energy in Agriculture, 303 Centen\u00e1rio Avenue, Piracicaba SP 13416-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Laboratory of Radiobiology and Environment, University of S\u00e3o Paulo-Center for Nuclear Energy in Agriculture, 303 Centen\u00e1rio Avenue, Piracicaba SP 13416-000, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5055441446"],"corresponding_institution_ids":["https://openalex.org/I146165071"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":6.7667,"has_fulltext":true,"cited_by_count":99,"citation_normalized_percentile":{"value":0.98296008,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"15","first_page":"4319","last_page":"4319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9991999864578247,"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":0.9991999864578247,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.996399998664856,"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/T11229","display_name":"Genetics and Plant Breeding","score":0.9937999844551086,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6726455092430115},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.671501874923706},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6645677089691162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6457371115684509},{"id":"https://openalex.org/keywords/germination","display_name":"Germination","score":0.6284392476081848},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6060953140258789},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5706063508987427},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5358003377914429},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46428361535072327},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.45506712794303894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42457669973373413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42450961470603943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3685694932937622},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3481478691101074},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.181427001953125},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17454129457473755},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11305388808250427},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10554242134094238}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6726455092430115},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.671501874923706},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6645677089691162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6457371115684509},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.6284392476081848},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6060953140258789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5706063508987427},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5358003377914429},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46428361535072327},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.45506712794303894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42457669973373413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42450961470603943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3685694932937622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3481478691101074},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.181427001953125},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17454129457473755},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11305388808250427},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10554242134094238},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20154319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154319","pdf_url":"https://www.mdpi.com/1424-8220/20/15/4319/pdf?version=1596442735","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32756355","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32756355","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:d361f35d6d4d4c0e926b5717f9838c3b","is_oa":true,"landing_page_url":"https://doaj.org/article/d361f35d6d4d4c0e926b5717f9838c3b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 15, p 4319 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/15/4319/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20154319","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 15; Pages: 4319","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7435829","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7435829","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20154319","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20154319","pdf_url":"https://www.mdpi.com/1424-8220/20/15/4319/pdf?version=1596442735","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G121811674","display_name":null,"funder_award_id":"Finance Code 001).","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G1950316668","display_name":null,"funder_award_id":"CAPES","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G3794326933","display_name":null,"funder_award_id":"Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3883789297","display_name":null,"funder_award_id":"Code 00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3977431720","display_name":null,"funder_award_id":"(Finance Code 001)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4111417738","display_name":null,"funder_award_id":"Finance Code 001)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4600047395","display_name":null,"funder_award_id":"FAPESP","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5139334624","display_name":null,"funder_award_id":"Coordena\u00e7\u00e3o","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G5696276328","display_name":null,"funder_award_id":"Finance","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6160365333","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G6515092298","display_name":null,"funder_award_id":"Finance Code 001","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G7338152503","display_name":"Non-destructive image analysis methods for seed quality evaluation","funder_award_id":"17/15220-7","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G8301873955","display_name":null,"funder_award_id":"Code 001)","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G8837013128","display_name":null,"funder_award_id":"Code 0","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G8948088474","display_name":null,"funder_award_id":"#2017/15220-7","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G913278039","display_name":null,"funder_award_id":"2017/15220-7","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G963174003","display_name":null,"funder_award_id":"de Aperfei\u00e7","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3046429102.pdf","grobid_xml":"https://content.openalex.org/works/W3046429102.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W807097243","https://openalex.org/W1831050183","https://openalex.org/W1997207432","https://openalex.org/W2093496383","https://openalex.org/W2154280390","https://openalex.org/W2178703498","https://openalex.org/W2195069286","https://openalex.org/W2333943501","https://openalex.org/W2334738473","https://openalex.org/W2356219939","https://openalex.org/W2551545779","https://openalex.org/W2743188176","https://openalex.org/W2752417628","https://openalex.org/W2799365888","https://openalex.org/W2895572698","https://openalex.org/W2906893370","https://openalex.org/W2910512548","https://openalex.org/W2911956477","https://openalex.org/W2914373942","https://openalex.org/W2917883159","https://openalex.org/W2946470486","https://openalex.org/W2950309476","https://openalex.org/W2978720004","https://openalex.org/W2997430052","https://openalex.org/W2998216295","https://openalex.org/W3000191846","https://openalex.org/W3001775152","https://openalex.org/W3003493504","https://openalex.org/W3003657912","https://openalex.org/W3007125487","https://openalex.org/W3035709400","https://openalex.org/W4285719527","https://openalex.org/W6763050237","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4396816114","https://openalex.org/W4380048833"],"abstract_inverted_index":{"Optical":[0],"sensors":[1],"combined":[2],"with":[3,122],"machine":[4,121,201],"learning":[5,202],"algorithms":[6,203],"have":[7,17],"led":[8],"to":[9,32,64,180,216,230,237],"significant":[10],"advances":[11,16],"in":[12,27,200,206,239],"seed":[13,29,36,45,66,148,186,215],"science.":[14],"These":[15],"facilitated":[18],"the":[19,28,33,93,99,128,131,150,164,169,172,189,212,224,240],"development":[20],"of":[21,35,137,171,178,214,220,243],"robust":[22],"approaches,":[23],"providing":[24],"decision-making":[25],"support":[26,119],"industry":[30],"related":[31],"marketing":[34],"lots.":[37],"In":[38,127],"this":[39],"study,":[40],"a":[41,78,234],"novel":[42],"approach":[43],"for":[44,185],"quality":[46,241],"classification":[47,173,242],"is":[48],"presented.":[49],"We":[50],"developed":[51,191],"classifier":[52],"models":[53,94,132,151,190],"using":[54,139,144,157,192],"Fourier":[55],"transform":[56],"near-infrared":[57],"(FT-NIR)":[58],"spectroscopy":[59,82],"and":[60,68,84,92,118,142,154,159,166,183,196,209,223],"X-ray":[61,145,160,167,197,221],"imaging":[62,198],"techniques":[63],"predict":[65,181],"germination":[67,129],"vigor.":[69,187],"A":[70],"forage":[71],"grass":[72],"(<i>Urochloa":[73],"brizantha</i>)":[74],"was":[75],"used":[76,232],"as":[77,233],"model":[79,174],"species.":[80],"FT-NIR":[81,140,158,165],"data":[83,199,222],"radiographic":[85],"images":[86],"were":[87,95],"obtained":[88],"from":[89],"individual":[90],"seeds,":[91],"created":[96],"based":[97],"on":[98],"following":[100],"algorithms:":[101],"linear":[102],"discriminant":[103,109],"analysis":[104,110],"(LDA),":[105],"partial":[106],"least":[107],"squares":[108],"(PLS-DA),":[111],"random":[112],"forest":[113],"(RF),":[114],"naive":[115],"Bayes":[116],"(NB),":[117],"vector":[120],"radial":[123],"basis":[124],"(SVM-<i>r</i>)":[125],"kernel.":[126],"prediction,":[130],"individually":[133],"reached":[134,175],"an":[135,176],"accuracy":[136,156,177],"82%":[138],"data,":[141,161,168],"90%":[143],"data.":[146],"For":[147],"vigor,":[149],"achieved":[152],"61%":[153],"68%":[155],"respectively.":[162],"Combining":[163],"performance":[170],"85%":[179],"germination,":[182],"62%":[184],"Overall,":[188],"both":[193],"NIR":[194],"spectra":[195],"are":[204],"efficient":[205],"quickly,":[207],"non-destructively,":[208],"accurately":[210],"identifying":[211],"capacity":[213],"germinate.":[217],"The":[218],"use":[219],"LDA":[225],"algorithm":[226],"showed":[227],"great":[228],"potential":[229],"be":[231],"viable":[235],"alternative":[236],"assist":[238],"<i>U.":[244],"brizantha</i>":[245],"seeds.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
