Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud-Reference-Cited by-同舟云学术

Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud

Published:2022-03-03 Issue:12 Volume:81 Page:16537-16562
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lanjewar Madhusudan G.^ORCID,Morajkar Pranay P.^ORCID,Parab Jivan^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12392-3.pdf

Reference74 articles.

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2. Amani M, Kakooei M, Moghimi A, Ghorbanian A, Ranjgar B, Mahdavi S, Davidson A, Fisette T, Rollin P, Brisco B, Mohammadzadeh A (2020) Application of Google earth engine cloud computing platform, sentinel imagery, and neural networks for crop mapping in Canada. Remote Sens 12:3561. https://doi.org/10.3390/rs12213561

3. Ashok V, Agrawal N, Durgbanshi A, Esteve-Romero J, Bose D (2015) A novel micellar chromatographic procedure for the determination of metanil yellow in foodstuffs. Anal Methods 7:9324–9330. https://doi.org/10.1039/C5AY02377G

4. Bandara C (2019) Multispectral images of adulterated turmeric powder [Calibration Data]. https://data.mendeley.com/datasets/b7cwddkcjm/3; https://doi.org/10.17632/b7cwddkcjm.3

5. Bandara WGC, Prabhath GWK, Dissanayake DWSCB, Herath VR, Godaliyadda GMRI, Bandara Ekanayake MP, Demini D, Madhujith T (2020) Validation of multispectral imaging for the detection of selected adulterants in turmeric samples. J Food Eng 266:109700. https://doi.org/10.1016/j.jfoodeng.2019.109700

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