{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T00:23:53Z","timestamp":1781915033732,"version":"3.54.5"},"reference-count":48,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,4]],"date-time":"2018-01-04T00:00:00Z","timestamp":1515024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Hyperspectral imaging covering the spectral range of 384\u20131034 nm combined with chemometric methods was used to detect Sclerotinia sclerotiorum (SS) on oilseed rape stems by two sample sets (60 healthy and 60 infected stems for each set). Second derivative spectra and PCA loadings were used to select the optimal wavelengths. Discriminant models were built and compared to detect SS on oilseed rape stems, including partial least squares-discriminant analysis, radial basis function neural network, support vector machine and extreme learning machine. The discriminant models using full spectra and optimal wavelengths showed good performance with classification accuracies of over 80% for the calibration and prediction set. Comparing all developed models, the optimal classification accuracies of the calibration and prediction set were over 90%. The similarity of selected optimal wavelengths also indicated the feasibility of using hyperspectral imaging to detect SS on oilseed rape stems. The results indicated that hyperspectral imaging could be used as a fast, non-destructive and reliable technique to detect plant diseases on stems.<\/jats:p>","DOI":"10.3390\/s18010123","type":"journal-article","created":{"date-parts":[[2018,1,4]],"date-time":"2018-01-04T11:52:47Z","timestamp":1515066767000},"page":"123","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":66,"title":["Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems"],"prefix":"10.3390","volume":"18","author":[{"given":"Wenwen","family":"Kong","sequence":"first","affiliation":[{"name":"School of Information Engineering, Zhejiang A &amp; F University, 666 Wusu Street, Hangzhou 311300, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6760-3154","authenticated-orcid":false,"given":"Chu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"},{"name":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weihao","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-6896","authenticated-orcid":false,"given":"Fei","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"},{"name":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6752-1757","authenticated-orcid":false,"given":"Yong","family":"He","sequence":"additional","affiliation":[{"name":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"},{"name":"Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1094\/PDIS.2004.88.9.1033","article-title":"Evaluation of Slerotinia stem rot resistance in oilseed Brassica napus using a petiole inoculation technique under greenhouse conditions","volume":"88","author":"Zhao","year":"2004","journal-title":"Plant Dis."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1016\/j.cropro.2009.05.008","article-title":"The incidence of stolbur disease and associated yield losses in vegetable crops in South Moravia (Czech Republic)","volume":"28","author":"Lauterer","year":"2009","journal-title":"Crop Prot."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.cropro.2016.08.015","article-title":"Effect of tolerance to Septoria tritici blotch on grain yield, yield components and grain quality in Argentinean wheat cultivars","volume":"90","author":"Castro","year":"2016","journal-title":"Crop Prot."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/S0261-2194(97)00033-1","article-title":"Silicon fertilization for disease management of rice in Florida","volume":"16","author":"Datnoff","year":"1997","journal-title":"Crop Prot."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s11104-012-1476-0","article-title":"The role of magnesium in plant disease","volume":"368","author":"Huber","year":"2013","journal-title":"Plant Soil"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s11557-016-1222-8","article-title":"Early detection of white mold caused by Sclerotinia sclerotiorum in potato fields using real-time PCR","volume":"15","author":"Ojaghian","year":"2016","journal-title":"Mycol. 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