Classification of canola seed varieties based on multi-feature analysis using computer vision approach-Reference-Cited by-同舟云学术

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

Published:2021-01-01 Issue:1 Volume:24 Page:493-504
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Qadri Salman¹^ORCID,Furqan Qadri Syed²,Razzaq Abdul³,Ul Rehman Muzammil¹,Ahmad Nazir¹,Nawaz Syed Ali¹,Saher Najia¹,Akhtar Nadeem¹,Khan Dost Muhammad³

Affiliation:

1. Department of Information Technology, The Islamia University of Bahawalpur, Punjab Pakistan

2. School of Computer Science & Software Engineering, Shenzhen University, China

3. Department of Computer Science, MNSUAM Multan, Multan, Punjab, Pakistan

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2021.1900235

Reference35 articles.

1. Grain-Grading Systems

2. Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

3. An automated detection and classification of citrus plant diseases using image processing techniques: A review

4. CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

5. An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection

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