Nano vector network analyzer effectively measures peanut moisture content-Reference-Cited by-同舟云学术

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Nano vector network analyzer effectively measures peanut moisture content

Published:2023-08-12 Issue:6 Volume:17 Page:6026-6038
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Ma Fangyan,Zhang Xinpei,Wang Dongwei,He Xiaoning,Yin Yuanyuan,Yin Hang,Zhao Liqing^ORCID

Funder

National Natural Science Foundation of China

National Modern Agricultural Industry Technology System Post Scientist Project

Modern Agricultural Technology Industry System of Shandong province

Qingdao Agricultural University Doctoral Start-Up Fund

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science

Link

https://link.springer.com/content/pdf/10.1007/s11694-023-02093-2.pdf

Reference23 articles.

1. C. Qu, Z. Wang, X. Jin, X. Wang, D. Wang, A moisture content prediction model for deep bed peanut drying using support vector regression. J. Food Process. Eng. 43, e13510 (2020). https://doi.org/10.1111/jfpe.13510

2. M. Vera Zambrano, B. Dutta, D.G. Mercer, H.L. MacLean, M.F. Touchie, Assessment of moisture content measurement methods of dried food products in small-scale operations in developing countries: a review. Trends Food Sci. Technol. 88, 484–496 (2019). https://doi.org/10.1016/j.tifs.2019.04.006

3. S. Trabelsi, M.A. Lewis, S.O. Nelson, Microwave moisture meter for in-shell peanut kernels. Food Control 66, 283–290 (2016). https://doi.org/10.1016/j.foodcont.2016.02.016

4. J.D. González-Teruel, S.B. Jones, D.A. Robinson, J. Giménez-Gallego, R. Zornoza, R. Torres-Sánchez, Measurement of the broadband complex permittivity of soils in the frequency domain with a low-cost vector network analyzer and an open-ended coaxial probe. Comput. Electron. Agric. 195, 106847 (2022). https://doi.org/10.1016/j.compag.2022.106847

5. S.B. Jones, W. Sheng, D. Or, Dielectric measurement of agricultural grain moisture—theory and applications. Sensors (Basel) 22, 2083 (2022). https://doi.org/10.3390/s22062083

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