{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T17:05:23Z","timestamp":1790010323526,"version":"4.0.1"},"reference-count":24,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T00:00:00Z","timestamp":1712102400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52075149"],"award-info":[{"award-number":["52075149"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFD0301106"],"award-info":[{"award-number":["2017YFD0301106"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Food Science &amp; Nutrition"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The demand for identification of maize varieties has increased dramatically due to the phenomenon of mixed seeds and inferior varieties pretending to be high\u2010quality varieties continuing to occur. It is urgent to solve the problem of efficient and accurate identification of maize varieties. A hyperspectral image acquisition system was used to acquire images of maize seeds. Regions of interest (ROI) with an embryo size of 10\u2009\u00d7\u200910 pixel were extracted, and the average spectral information in the range of 949.43\u20131709.49\u2009nm was intercepted for the subsequent study in order to eliminate random noise at both ends. Savitzky\u2013Golay (SG) smoothing algorithm and multiple scattering correction (MSC) were used to pretreat the full\u2010band spectrum. The feature wavelengths were screened by successive projection algorithms (SPA), competitive adaptive reweighted sampling (CARS) single screening, and two combinations of CARS\u2010SPA and CARS\u2009+\u2009SPA, respectively. Support vector machines (SVMs) and models optimized based on genetic algorithm (GA), particle swarm optimization (PSO) were established by using full bands (FB) and feature bands as the model input. The results showed that the MSC\u2010(CARS\u2010SPA)\u2010GA\u2010SVM model had the best performance with 93.00% of the test set accuracy, 8 feature variables, and a running time of 24.45\u2009s. MSC pretreatment can effectively eliminate the scattering effect of spectral data, and the feature wavelengths extracted by CARS\u2010SPA can represent all wavelength information. The study proved that hyperspectral imaging combined with GA\u2010SVM can realize the identification of maize varieties, which provided a theoretical basis for maize variety classification and authenticity identification.<\/jats:p>","DOI":"10.1002\/fsn3.3984","type":"journal-article","created":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T08:18:20Z","timestamp":1712132300000},"page":"3177-3187","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Hyperspectral imaging combined with\n                    <scp>GA\u2010SVM<\/scp>\n                    for maize variety identification"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5732-7598","authenticated-orcid":false,"given":"Fu","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Agricultural Equipment Engineering Henan University of Science and Technology  Luoyang China"},{"name":"Collaborative Innovation Center of Advanced Manufacturing for Machinery and Equipment of Henan Province  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Agricultural Equipment Engineering Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Agricultural Equipment Engineering Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Xiong","sequence":"additional","affiliation":[{"name":"College of Agriculture\/Peon Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyue","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Agricultural Equipment Engineering Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaukat","family":"Ali","sequence":"additional","affiliation":[{"name":"Wah Engineering College, University of Wah  Wah Cantt Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yakun","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Agricultural Equipment Engineering Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sanling","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Physical Engineering Henan University of Science and Technology  Luoyang China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,4,3]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.16002\/j.cnki.10090312.2022.03.014"},{"key":"e_1_2_8_3_1","volume-title":"Classification and tannin content detection of wine grapes based on near infrared hyperspectral imaging technology","author":"Cheng Y. L.","year":"2020"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.3964\/j.issn.1000\u20100593(2022)06\u20101698\u201006"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.7501\/j.issn.0253\u20102670.2022.20.007"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.19754\/j.nyyjs.20220130002"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1039\/d2ay01874h"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.3788\/LOP202158.2200003"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/molecules27186042"},{"key":"e_1_2_8_10_1","first-page":"18","article-title":"Study on the scale of corn feed demand in China","volume":"4","author":"Li S. J.","year":"2020","journal-title":"Heilongjiang Grain"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.3969\/j.issn.1005\u20101295.2022.02.012"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13769"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13603"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/JSFA.12764"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.FOODCHEM.2021.130077"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.13304\/j.nykjdb.2020.0305"},{"key":"e_1_2_8_17_1","first-page":"133","article-title":"Identification method of wheat kernel varieties based on hyperspectral imaging technology","volume":"36","author":"Wu Y. Q.","year":"2021","journal-title":"Chinese Journal of Grain and Oil"},{"key":"e_1_2_8_18_1","first-page":"74","article-title":"Automatic dragon fruit grading and inspection system based on machine vision conditions","volume":"37","author":"Xin H. J.","year":"2020","journal-title":"China Fruit Industry Information"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.3964\/j.issn.1000\u20100593(2023)02\u20100569\u201008"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010021\u201095240\u2010y"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.13413\/j.cnki.jdxblxb.2021328"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.13995\/j.cnki.11\u20101802\/ts.033557"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.3964\/j.issn.1000\u20100593(2022)04\u20101229\u201006"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.3964\/j.issn.1000\u20100593(2021)07\u20102240\u201005"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2020.103418"}],"container-title":["Food Science &amp; Nutrition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/fsn3.3984","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/fsn3.3984","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/fsn3.3984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T16:17:48Z","timestamp":1790007468000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/fsn3.3984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,3]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["10.1002\/fsn3.3984"],"URL":"https:\/\/doi.org\/10.1002\/fsn3.3984","archive":["Portico"],"relation":{},"ISSN":["2048-7177","2048-7177"],"issn-type":[{"value":"2048-7177","type":"print"},{"value":"2048-7177","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,3]]},"assertion":[{"value":"2023-10-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-01-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-04-03","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}