Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data

المؤلفون المشاركون

Tian, Yan-Ge
Zhang, Zheng-Nan
Tian, Shuang-Qi

المصدر

Journal of Analytical Methods in Chemistry

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-11-20

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الكيمياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1174961