Hybrid methods for detection of starch in adulterated turmeric from colour images
Author:
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/s11042-024-18195-y.pdf
Reference47 articles.
1. Lanjewar MG, Morajkar PP, Parab J (2022) Detection of tartrazine colored rice flour adulteration in turmeric from multi-spectral images on smartphone using convolutional neural network deployed on PaaS cloud. Multimed Tools Appl 81:16537–16562. https://doi.org/10.1007/s11042-022-12392-3
2. Amani M, Kakooei M, Moghimi A et al (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. Dhakal S, Chao K, Schmidt W et al (2016) Evaluation of turmeric powder adulterated with metanil yellow using ft-raman and ft-ir spectroscopy. Foods 5:36. https://doi.org/10.3390/foods5020036
4. Di Anibal CV, Odena M, Ruisánchez I, Callao MP (2009) Determining the adulteration of spices with Sudan I-II-II-IV dyes by UV–visible spectroscopy and multivariate classification techniques. Talanta 79:887–892. https://doi.org/10.1016/j.talanta.2009.05.023
5. Parvathy VA, Swetha VP, Sheeja TE, Sasikumar B (2015) Detection of plant-based adulterants in turmeric powder using DNA barcoding. Pharm Biol 53:1774–1779. https://doi.org/10.3109/13880209.2015.1005756
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