Classification of canola seed varieties based on multi-feature analysis using computer vision approach

Classification of canola seed varieties based on multi-feature analysis using computer vision approach

This study aims to analyze the potential of the computer vision (CV) approach to classify eight canola varieties. The input images of eight canola varieties were CON-I, CON-II, CON-III, Pakola, Canola Raya, Rainbow, PARC Canola Hybrid, and Tarnab-III. A digital camera acquired these images on an ope...

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Bibliographic Details
Main Authors: Salman Qadri, Syed Furqan Qadri, Abdul Razzaq, Muzammil Ul Rehman, Nazir Ahmad, Syed Ali Nawaz, Najia Saher, Nadeem Akhtar, Dost Muhammad Khan
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:International Journal of Food Properties
Subjects:
canola seeds
classification
quantify
computer vision
artificial neural network
Online Access:http://dx.doi.org/10.1080/10942912.2021.1900235

Internet

http://dx.doi.org/10.1080/10942912.2021.1900235

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