Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging-Reference-Cited by-同舟云学术

Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging

Published:2018-05-15 Issue: Volume: Page:
ISSN:
Container-title:Sensing for Agriculture and Food Quality and Safety X
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Author:

Chowdhury Arijit,Kimbahune Sanjay,Gupta Kavya,Bhowmick Brojeshwar,Mukhopadhyay Shalini,B.S. Mithun,Shinde Sujit,Bhavsar Karan

Publisher

SPIE

Reference18 articles.

1. Mithun B.S., Milton Mondal, Harsh Vishwakarma, Sujit Shinde, Sanjay Kimbahune, “Detection of artificially ripened mango using spectrometric analysis,” Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 102170A

2. Hyperspectral sensing based analysis for determining milk adulteration;Kimbahune,2016

3. Hyperspectral Remote Sensing;Sahoo,2013

4. Hyperspectral Remote Sensing Data Analysis and Future Challenges

5. Plastid ultrastructure, chlorophyll contents, and colour expression during ripening of cavendish banana (musa acuminata’Williams') at 18°C and 27°C

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