Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data
Joint Authors
Tian, Yan-Ge
Zhang, Zheng-Nan
Tian, Shuang-Qi
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Nondestructive testing with sensor technology is one of the fastest growing and most promising wheat quality information analysis technologies.
Nondestructive testing with sensor technology benefits from the latest achievement of many disciplines such as computer, optics, mathematics, chemistry, and chemometrics.
It has the advantages of simplicity, speed, low cost, no pollution, and no contact.
It is widely used in wheat quality analysis and testing research.
This article summarizes nondestructive testing with sensor technology for wheat quality, including the mechanical model, hyperspectral technology, Raman spectroscopy, and near-infrared techniques for wheat mechanical properties, storage properties, and physical and chemical properties (such as moisture, ash, protein, and starch) in the past decade.
Based on the current research progress, big data technology needs a lot of research in spectral data mining, modeling algorithm optimization, model robustness, etc.
to provide more data support and method reference for the research and application of wheat quality.
American Psychological Association (APA)
Tian, Yan-Ge& Zhang, Zheng-Nan& Tian, Shuang-Qi. 2020. Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data. Journal of Analytical Methods in Chemistry،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1174961
Modern Language Association (MLA)
Tian, Yan-Ge…[et al.]. Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data. Journal of Analytical Methods in Chemistry No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1174961
American Medical Association (AMA)
Tian, Yan-Ge& Zhang, Zheng-Nan& Tian, Shuang-Qi. Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data. Journal of Analytical Methods in Chemistry. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1174961
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174961