N. Smith, L. A. Rivera, N. Burford, T. Bowman, M. El-Shenawee, G. DeSouza
{"title":"Towards root phenotyping in situ using THz imaging","authors":"N. Smith, L. A. Rivera, N. Burford, T. Bowman, M. El-Shenawee, G. DeSouza","doi":"10.1109/IRMMW-THZ.2015.7327708","DOIUrl":null,"url":null,"abstract":"Root growth and development are critical for plant survival and productivity. While systems have been developed to automate the process of extracting root traits using 2D and 3D imaging under controlled conditions, to date, no systems exist that can non-destructively and repeatedly provide high-quality information on roots of field-grown plants. At the same time, Terahertz (THz) imaging is becoming a valuable tool in many areas, including medicine, pharmacology, security, etc. and has the potential for non-destructive, repeated imaging of root systems growing in pot and eventually field conditions. In this paper, we present a framework for investigating root growth and function of plants by analyzing and classifying THz data. The proposed system can successfully identify organic materials from potting soil or sand using both THz transmitted and reflected signals.","PeriodicalId":6577,"journal":{"name":"2015 40th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz)","volume":"57 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 40th International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRMMW-THZ.2015.7327708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Root growth and development are critical for plant survival and productivity. While systems have been developed to automate the process of extracting root traits using 2D and 3D imaging under controlled conditions, to date, no systems exist that can non-destructively and repeatedly provide high-quality information on roots of field-grown plants. At the same time, Terahertz (THz) imaging is becoming a valuable tool in many areas, including medicine, pharmacology, security, etc. and has the potential for non-destructive, repeated imaging of root systems growing in pot and eventually field conditions. In this paper, we present a framework for investigating root growth and function of plants by analyzing and classifying THz data. The proposed system can successfully identify organic materials from potting soil or sand using both THz transmitted and reflected signals.