Sensing of Moisture Content of In-Shell Peanuts by NIR Reflectance Spectroscopy

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Journal of Sensor Technology

ISSN Print: 2161-122X
ISSN Online: 2161-1238
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"Sensing of Moisture Content of In-Shell Peanuts by NIR Reflectance Spectroscopy"
written by Jaya Sundaram, Chari V. Kandala, Konda Naganathan Govindarajan, Jeyam Subbiah,
published by Journal of Sensor Technology, Vol.2 No.1, 2012

has been cited by the following article(s):

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[1]	Detection of Aflatoxin B1 in Single Peanut Kernels by Combining Hyperspectral and Microscopic Imaging Technologies Sensors, 2022 DOI:10.3390/s22134864

[2]	Non-Destructive Quality Monitoring of Flaxseed During Storage Journal of Food Measurement and Characterization, 2022 DOI:10.1007/s11694-022-01464-5

[3]	Rapid and Non-destructive measurement of moisture content of peanut (Arachis hypogaea L.) kernel using a near-infrared hyperspectral imaging technique Journal of Food Measurement and Characterization, 2021 DOI:10.1007/s11694-021-00894-x

[4]	Potential of near-infrared hyperspectral imaging in discriminating corn kernels infected with aflatoxigenic and non-aflatoxigenic Aspergillus flavus Sensing for Agriculture and Food Quality and Safety XI, 2019 DOI:10.1117/12.2521654

[5]	Detection of aflatoxin B1 on corn kernel surfaces using visible-near infrared spectra Journal of Near Infrared Spectroscopy, 2019 DOI:10.1177/0967033519895686

[6]	Use of Visible–Near-Infrared (Vis-NIR) Spectroscopy to Detect Aflatoxin B1 on Peanut Kernels Applied Spectroscopy, 2019 DOI:10.1177/0003702819829725

[7]	Developing a NIR multispectral imaging for prediction and visualization of peanut protein content using variable selection algorithms Infrared Physics & Technology, 2018 DOI:10.1016/j.infrared.2017.11.018

[8]	Rapid and non-destructive detection of aflatoxin contamination of peanut kernels using visible/near-infrared (Vis/NIR) spectroscopy Sensing for Agriculture and Food Quality and Safety X, 2018 DOI:10.1117/12.2304399

[9]	Dynamic spectrum extraction method based on independent component analysis combined dual-tree complex wavelet transform RSC Adv., 2017 DOI:10.1039/C6RA28647J

[10]	Optical remote sensor for peanut kernel abortion classification Applied Optics, 2016 DOI:10.1364/AO.55.004005

[11]	Near Infrared Imaging As a Method of Studying Tsetse Fly (Diptera: Glossinidae) Pupal Development Journal of Insect Science, 2016 DOI:10.1093/jisesa/iew047

[12]	Calibration set selection method based on the “M + N” theory: application to non-invasive measurement by dynamic spectrum RSC Adv., 2016 DOI:10.1039/C6RA19272F

[13]	Nondestructive moisture content determination of three different market type in-shell peanuts using near infrared reflectance spectroscopy Journal of Food Measurement and Characterization, 2014 DOI:10.1007/s11694-014-9173-8

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	+86 18163351462(WhatsApp)
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