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International Journal of Food Properties Volume 24, 2021 - Issue 1
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Original Article

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

Salman Qadria Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3503-6535
ORCID Icon,
Syed Furqan Qadrib School of Computer Science & Software Engineering, Shenzhen University, China
,
Abdul Razzaqc Department of Computer Science, MNSUAM Multan, Multan, Punjab, Pakistan
,
Muzammil Ul Rehmana Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistan
,
Nazir Ahmada Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistan
,
Syed Ali Nawaza Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistan
,
Najia Sahera Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistan
,
Nadeem Akhtara Department of Information Technology, The Islamia University of Bahawalpur, PunjabPakistan
&
Dost Muhammad Khanc Department of Computer Science, MNSUAM Multan, Multan, Punjab, Pakistan
 show all
Pages 493-504 | Received 05 Nov 2020, Accepted 03 Mar 2021, Published online: 25 Mar 2021

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Tanveer Aslam, Salman Qadri, Syed Furqan Qadri, Syed Ali Nawaz, Abdul Razzaq, Syeda Shumaila Zarren, Mubashir Ahmad, Muzammil Ur Rehman, Amir Hussain, Israr Hussain, Javeria Jabeen & Adnan Altaf. (2022) Machine learning approach for classification of mangifera indica leaves using digital image analysis. International Journal of Food Properties 25:1, pages 1987-1999.
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