{"title":"太赫兹成像扫描仪鉴别健康榛子与腐烂榛子","authors":"M. Greco, E. Giovenale, F. Leccese, A. Doria","doi":"10.1109/MetroAgriFor55389.2022.9964672","DOIUrl":null,"url":null,"abstract":"THz radiation is non-ionizing and non-invasive. Exploiting these features, THz technologies could be used to perform inspections on food quality control. The objective of this study is to discriminate healthy and rotten hazelnuts by using a 97 GHz imaging system.","PeriodicalId":374452,"journal":{"name":"2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Discrimination of Healthy and Rotten Hazelnuts Using a THz Imaging Scanner\",\"authors\":\"M. Greco, E. Giovenale, F. Leccese, A. Doria\",\"doi\":\"10.1109/MetroAgriFor55389.2022.9964672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"THz radiation is non-ionizing and non-invasive. Exploiting these features, THz technologies could be used to perform inspections on food quality control. The objective of this study is to discriminate healthy and rotten hazelnuts by using a 97 GHz imaging system.\",\"PeriodicalId\":374452,\"journal\":{\"name\":\"2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MetroAgriFor55389.2022.9964672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MetroAgriFor55389.2022.9964672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Discrimination of Healthy and Rotten Hazelnuts Using a THz Imaging Scanner
THz radiation is non-ionizing and non-invasive. Exploiting these features, THz technologies could be used to perform inspections on food quality control. The objective of this study is to discriminate healthy and rotten hazelnuts by using a 97 GHz imaging system.
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