Machine Vision Approach for Classification of Rice Varieties Using Texture Features-Reference-Cited by-同舟云学术

Machine Vision Approach for Classification of Rice Varieties Using Texture Features

Published:2021-01-01 Issue:1 Volume:24 Page:1615-1630
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Qadri Salman¹,Aslam Tanveer²,Nawaz Syed Ali²,Saher Najia²,Razzaq Abdul-¹,Ur Rehman Muzammil²,Ahmad Nazir²,Shahzad Faisal²,Furqan Qadri Syed³

Affiliation:

1. Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture Multan (Mns-uam), Multan Punjab, Pakistan

2. Department of Information Technology, Islamia University of Bahawalpur, Bahawalpur Punjab, Pakistan

3. Computer Vision Institute, College of Computer Science & Software Engineering, Shenzhen University China

Funder

commercial, or not-for-profit sectors.”

Publisher

Informa UK Limited

Subject

Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10942912.2021.1986523

Reference52 articles.

1. Machine vision approach for classification of citrus leaves using fused features

2. Ahmad, I. Pakistan Economic Survey 2019-20. Economic Adviser’s Wing, Finance Division Government of Pakistan, Islamabad, Economic Survey 2019-20, June 2020.

3. Evaluation of Growth Performance of Some Rice Varieties in Relation to Their Economic Yield

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