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

Machine Vision Approach for Classification of Rice Varieties Using Texture Features

Salman Qadria Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture Multan (Mns-uam), MultanPunjab, PakistanCorrespondence[email protected]
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,
Tanveer Aslamb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
,
Syed Ali Nawazb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
,
Najia Saherb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
,
Abdul- Razzaqa Department of Computer Science, Muhammad Nawaz Shareef University of Agriculture Multan (Mns-uam), MultanPunjab, PakistanView further author information
,
Muzammil Ur Rehmanb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
,
Nazir Ahmadb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
,
Faisal Shahzadb Department of Information Technology, Islamia University of Bahawalpur, BahawalpurPunjab, PakistanView further author information
&
Syed Furqan Qadric Computer Vision Institute, College of Computer Science & Software Engineering, Shenzhen University ChinaView further author information
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Pages 1615-1630 | Received 16 Jun 2021, Accepted 23 Sep 2021, Published online: 11 Oct 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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Maryam Fatima, Muhammad Attique Khan, Muhammad Sharif, Majed Alhaisoni, Abdullah Alqahtani, Usman Tariqe, Ye Jin Kim & Byoungchol Chang. (2022) Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety Identification. Computational Intelligence and Neuroscience 2022, pages 1-13.
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Jerita Chibhabha, Kudakwashe Zvarevashe, Leslie Kudzai Nyandoro, Teurai Matekenya & Benard Mapako. (2022) Classification of Rice varieties using DMLP-PCA inspired features with MVE Classifier. Classification of Rice varieties using DMLP-PCA inspired features with MVE Classifier.
Padma Nyoman Crisnapati & Dechrit Maneetham. (2022) RIFIS: A Novel Rice Field Sidewalk Detection Dataset for Walk-Behind Hand Tractor. Data 7:10, pages 135.
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Gracelin S & Kumudha Raimond. (2022) Deep Learning based Indigenous Herbal Medicinal Plants Recognition: A Comprehensive Review. Deep Learning based Indigenous Herbal Medicinal Plants Recognition: A Comprehensive Review.

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