Multilevel Fusion of Multispectral Images to Detect the Artificially Ripened Banana
Author:
Affiliation:
1. School of Physical and Applied Sciences, Goa University, Goa, India
2. Norwegian University of Science and Technology, Trondheim, Norway
Funder
University Grant Commission, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7782634/9996093/10004723.pdf?arnumber=10004723
Reference13 articles.
1. Multi-Spectral Imaging for Artificial Ripened Banana Detection
2. Collaborative representation of convolutional neural network features to detect artificial ripening of banana using multi–Spectral imaging;vetrekar;J Food Process Preservation,2022
3. Recent Advances in Nondestructive Analytical Techniques for Determining the Total Soluble Solids in Fruits: A Review
4. Multi-spectral Imaging To Detect Artificial Ripening Of Banana: A Comprehensive Empirical Study
5. Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging;mithun;SPIE,2018
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