{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,17]],"date-time":"2024-07-17T20:36:35Z","timestamp":1721248595283},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671244","61773206"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Jiangsu Province","award":["SBE2018310371"]},{"name":"National Defense Basic Scientific Research Project","award":["JCKY2018* * **303"]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20170131"],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2873689","type":"journal-article","created":{"date-parts":[[2018,10,4]],"date-time":"2018-10-04T19:11:32Z","timestamp":1538680292000},"page":"57663-57675","source":"Crossref","is-referenced-by-count":16,"title":["Hyperspectral Identification and Classification of Oilseed Rape Waterlogging Stress Levels Using Parallel Computing"],"prefix":"10.1109","volume":"6","author":[{"given":"Ji'an","family":"Xia","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2020-5479","authenticated-orcid":false,"given":"Bo","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yu Wang","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Hong Xin","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Weixin","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Wan","sequence":"additional","affiliation":[]},{"given":"Yaqi","family":"Ke","sequence":"additional","affiliation":[]},{"given":"Wenyu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Daokuo","family":"Ge","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2008.11.008"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.lwt.2016.10.006","article-title":"Hyperspectral reflectance imaging combined with chemometrics and successive projections algorithm for chilling injury classification in peaches","volume":"75","author":"sun","year":"2016","journal-title":"LWT"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrs.2017.01.007"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2016.10.021"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2016.11.037"},{"key":"ref36","first-page":"414","article-title":"Performance comparison of clustering algorithms in spark","volume":"44","author":"hai zhang","year":"2017","journal-title":"Comput Sci"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MCC.2018.022171665"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodchem.2015.06.106"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s13007-017-0198-y"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2016.08.170"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.9728\/dcs.2017.18.1.149"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1108\/AFR-03-2016-0018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2016.07.017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.12.012"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT.2016.7807821"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s16111884"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.1999.774430"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2005.02.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1721654.1721672"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.fcr.2015.06.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00299-013-1529-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.postharvbio.2010.08.002"},{"key":"ref29","year":"2018","journal-title":"Apache Spark is a Unified Analytics Engine for Large-Scale Data Processing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2016.07.016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.09.038"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.agsy.2017.06.009"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodchem.2018.03.039"},{"key":"ref1","year":"2018","journal-title":"Oilseeds World Markets and Trade Global Oilseed Demand Growth Forecast to Outpace Production"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-5214(02)00066-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/s150716576"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"123","DOI":"10.3390\/s18010123","article-title":"Application of hyperspectral imaging to detect sclerotinia sclerotiorum on oilseed rape stems","volume":"18","author":"kong","year":"2018","journal-title":"SENSORS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2168604"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.indcrop.2012.06.021"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.880583"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08481394.pdf?arnumber=8481394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T17:58:51Z","timestamp":1643219931000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8481394\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2873689","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}
