{"id":"https://openalex.org/W2781684738","doi":"https://doi.org/10.3390/s18010123","title":"Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems","display_name":"Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems","publication_year":2018,"publication_date":"2018-01-04","ids":{"openalex":"https://openalex.org/W2781684738","doi":"https://doi.org/10.3390/s18010123","mag":"2781684738","pmid":"https://pubmed.ncbi.nlm.nih.gov/29300315"},"language":"en","primary_location":{"id":"doi:10.3390/s18010123","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010123","pdf_url":"https://www.mdpi.com/1424-8220/18/1/123/pdf?version=1515053397","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":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/1/123/pdf?version=1515053397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076544895","display_name":"Wenwen Kong","orcid":"https://orcid.org/0000-0002-2158-897X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Kong","raw_affiliation_strings":["School of Information Engineering, Zhejiang A & F University, 666 Wusu Street, Hangzhou 311300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhejiang A & F University, 666 Wusu Street, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734635","display_name":"Chu Zhang","orcid":"https://orcid.org/0000-0001-6760-3154"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chu Zhang","raw_affiliation_strings":["College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"],"raw_orcid":"https://orcid.org/0000-0001-6760-3154","affiliations":[{"raw_affiliation_string":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071171388","display_name":"Wei\u2010Hao Huang","orcid":"https://orcid.org/0000-0002-8037-7208"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihao Huang","raw_affiliation_strings":["College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783051","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0003-0266-6896"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Liu","raw_affiliation_strings":["College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"],"raw_orcid":"https://orcid.org/0000-0003-0266-6896","affiliations":[{"raw_affiliation_string":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China","institution_ids":["https://openalex.org/I4210151987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100342968","display_name":"Yong He","orcid":"https://orcid.org/0000-0001-6752-1757"},"institutions":[{"id":"https://openalex.org/I4210151987","display_name":"Ministry of Agriculture and Rural Affairs","ror":"https://ror.org/05ckt8b96","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"],"raw_orcid":"https://orcid.org/0000-0001-6752-1757","affiliations":[{"raw_affiliation_string":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China","institution_ids":["https://openalex.org/I4210151987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101783051"],"corresponding_institution_ids":["https://openalex.org/I4210151987","https://openalex.org/I76130692"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":7.4196,"has_fulltext":true,"cited_by_count":76,"citation_normalized_percentile":{"value":0.98766577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"123","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"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":0.9998999834060669,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10035","display_name":"Phytochemicals and Antioxidant Activities","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2704","display_name":"Biochemistry"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9424754977226257},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6658148765563965},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6384124755859375},{"id":"https://openalex.org/keywords/sclerotinia-sclerotiorum","display_name":"Sclerotinia sclerotiorum","score":0.6321643590927124},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5889094471931458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5783653855323792},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.523680567741394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4831754267215729},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.45465731620788574},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43158629536628723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4253576695919037},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.41670462489128113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41363975405693054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17793607711791992},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.16967672109603882},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.16799089312553406}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9424754977226257},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6658148765563965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6384124755859375},{"id":"https://openalex.org/C2778530245","wikidata":"https://www.wikidata.org/wiki/Q2165315","display_name":"Sclerotinia sclerotiorum","level":2,"score":0.6321643590927124},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5889094471931458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5783653855323792},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.523680567741394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4831754267215729},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.45465731620788574},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43158629536628723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4253576695919037},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.41670462489128113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41363975405693054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17793607711791992},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.16967672109603882},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.16799089312553406},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001203","descriptor_name":"Ascomycota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001203","descriptor_name":"Ascomycota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001203","descriptor_name":"Ascomycota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001203","descriptor_name":"Ascomycota","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018515","descriptor_name":"Plant Leaves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D029688","descriptor_name":"Brassica napus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029688","descriptor_name":"Brassica napus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029688","descriptor_name":"Brassica napus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029688","descriptor_name":"Brassica napus","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s18010123","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010123","pdf_url":"https://www.mdpi.com/1424-8220/18/1/123/pdf?version=1515053397","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:29300315","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29300315","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:83a023880aae472590550584287418cc","is_oa":true,"landing_page_url":"https://doaj.org/article/83a023880aae472590550584287418cc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"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 18, Iss 1, p 123 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4718100","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5796448","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/1/123/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18010123","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 18; Issue 1; Pages: 123","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18010123","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18010123","pdf_url":"https://www.mdpi.com/1424-8220/18/1/123/pdf?version=1515053397","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1016416691","display_name":null,"funder_award_id":"2017YFD0701002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2782198148","display_name":null,"funder_award_id":"2017M610370","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3879666250","display_name":null,"funder_award_id":"2016M600466","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7533551851","display_name":null,"funder_award_id":"31471417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2781684738.pdf","grobid_xml":"https://content.openalex.org/works/W2781684738.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W588489631","https://openalex.org/W1899222566","https://openalex.org/W1968401762","https://openalex.org/W1975055549","https://openalex.org/W1996195892","https://openalex.org/W2013023631","https://openalex.org/W2019610851","https://openalex.org/W2021530647","https://openalex.org/W2022389966","https://openalex.org/W2032598182","https://openalex.org/W2046125598","https://openalex.org/W2061904654","https://openalex.org/W2064389534","https://openalex.org/W2091258925","https://openalex.org/W2096218607","https://openalex.org/W2101864901","https://openalex.org/W2103959917","https://openalex.org/W2127029462","https://openalex.org/W2129785595","https://openalex.org/W2144543238","https://openalex.org/W2171304109","https://openalex.org/W2172927205","https://openalex.org/W2189436537","https://openalex.org/W2245136781","https://openalex.org/W2260427180","https://openalex.org/W2265842524","https://openalex.org/W2280933006","https://openalex.org/W2291011663","https://openalex.org/W2293415207","https://openalex.org/W2304001889","https://openalex.org/W2311725483","https://openalex.org/W2409260523","https://openalex.org/W2413784086","https://openalex.org/W2417459193","https://openalex.org/W2463055876","https://openalex.org/W2485088831","https://openalex.org/W2490548105","https://openalex.org/W2498583668","https://openalex.org/W2509797384","https://openalex.org/W2510243739","https://openalex.org/W2513609718","https://openalex.org/W2531410180","https://openalex.org/W2551941066","https://openalex.org/W2555656068","https://openalex.org/W2556306584","https://openalex.org/W2562515443","https://openalex.org/W2611517298","https://openalex.org/W2735738785"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W2037752115","https://openalex.org/W3008559849"],"abstract_inverted_index":{"(SS)":[0],"on":[1,40,119,143],"oilseed":[2,41,120],"rape":[3,42,121],"stems":[4,14],"by":[5],"two":[6],"sample":[7],"sets":[8],"(60":[9],"healthy":[10],"and":[11,21,35,57,67,82,96,136],"60":[12],"infected":[13],"for":[15,79],"each":[16],"set).":[17],"Second":[18],"derivative":[19],"spectra":[20,66],"PCA":[22],"loadings":[23],"were":[24,33,99],"used":[25,131],"to":[26,37,116,139],"select":[27],"the":[28,80,89,94,110],"optimal":[29,68,90,106],"wavelengths.":[30],"Discriminant":[31],"models":[32,63],"built":[34],"compared":[36],"detect":[38,117,140],"SS":[39,118],"stems,":[43],"including":[44],"partial":[45],"least":[46],"squares-discriminant":[47],"analysis,":[48],"radial":[49],"basis":[50],"function":[51],"neural":[52],"network,":[53],"support":[54],"vector":[55],"machine":[56],"extreme":[58],"learning":[59],"machine.":[60],"The":[61,102,123],"discriminant":[62],"using":[64,113],"full":[65],"wavelengths":[69,107],"showed":[70],"good":[71],"performance":[72],"with":[73],"classification":[74,91],"accuracies":[75,92],"of":[76,93,104,112],"over":[77,100],"80%":[78],"calibration":[81,95],"prediction":[83,97],"set.":[84],"Comparing":[85],"all":[86],"developed":[87],"models,":[88],"set":[98],"90%.":[101],"similarity":[103],"selected":[105],"also":[108],"indicated":[109,125],"feasibility":[111],"hyperspectral":[114,127],"imaging":[115,128],"stems.":[122,144],"results":[124],"that":[126],"could":[129],"be":[130],"as":[132],"a":[133],"fast,":[134],"non-destructive":[135],"reliable":[137],"technique":[138],"plant":[141],"diseases":[142]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":12}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}