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International Journal of Food Properties Volume 22, 2019 - Issue 1
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Original Article

Machine vision approach for classification of citrus leaves using fused features

Salman Qadria Department of Computer Science & IT, The Islamia University, Bahawalpur, Pakistan
,
Syed Furqan Qadrib School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
,
Mujtaba Husnaina Department of Computer Science & IT, The Islamia University, Bahawalpur, Pakistan
,
Malik Muhammad Saad Missena Department of Computer Science & IT, The Islamia University, Bahawalpur, PakistanORCID Iconhttps://orcid.org/0000-0001-9903-0274
ORCID Icon,
Dost Muhammad Khana Department of Computer Science & IT, The Islamia University, Bahawalpur, Pakistan
,
Muzammil-Ul-Rehmana Department of Computer Science & IT, The Islamia University, Bahawalpur, Pakistan
,
Abdul Razzaqc Department of Computer Science, MNS University of Agriculture, Multan, Pakistan
&
Saleem Ullahd Department of Computer Science, Khawaja Fareed University of Engineering and technology, Rahim Yar Khan, PakistanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3747-1263
ORCID Icon show all
Pages 2072-2089 | Received 12 Jul 2019, Accepted 06 Dec 2019, Published online: 22 Dec 2019

Citations (18)

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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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Syed Ali Nawaz, Dost Muhammad Khan & Salman Qadri. (2022) Brain Tumor Classification Based on Hybrid Optimized Multi-features Analysis Using Magnetic Resonance Imaging Dataset. Applied Artificial Intelligence 36:1.
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Aqib Ali, Salman Qadri, Wali Khan Mashwani, Samir Brahim Belhaouari, Samreen Naeem, Sidra Rafique, Farrukh Jamal, Christophe Chesneau & Sania Anam. (2020) Machine learning approach for the classification of corn seed using hybrid features. International Journal of Food Properties 23:1, pages 1110-1124.
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Articles from other publishers (15)

Madhusudan G. Lanjewar & Jivan S. Parab. (2023) CNN and transfer learning methods with augmentation for citrus leaf diseases detection using PaaS cloud on mobile. Multimedia Tools and Applications.
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Avr Mayuri, V Rashmi, Bappaditya Das, Amitabha Mandal & S. Neelakandan. (2023) Artificial Neural Network (ANN) With Chan-Vese(CV) Algorithm-Based Plant Disease Detection And Classification. Artificial Neural Network (ANN) With Chan-Vese(CV) Algorithm-Based Plant Disease Detection And Classification.
Arun Sri Krishna, Sunag M., N. Shobha Rani & Pushpa B. R.. (2023) On-spot Citrus Canker Disease Detection using YOLOv7. On-spot Citrus Canker Disease Detection using YOLOv7.
Nurhadi Wijaya, Sri Hasta Mulyani & Yussy Wahyu Anggraini. (2022) DeepFruits: efficient citrus type classification using the CNN. Iran Journal of Computer Science 6:1, pages 21-27.
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Oliver John Y. Alajas, Ronnie S. Concepcion II, Maria Gemel B. Palconit, Argel A. Bandala, Edwin Sybingco, Ryan Rhay P. Vicerra, Elmer P. Dadios, Christan Hail R. Mendigoria, Heinrick L. Aquino & Luigi Gennaro Izzo. (2023) Grape Pseudocercospora Leaf Specked Area Estimation Using Hybrid Genetic Algorithm and Recurrent Neural Network . Journal of Advanced Computational Intelligence and Intelligent Informatics 27:1, pages 35-43.
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Mutiullah Jamil, Hafeez ul Rehman, SaleemUllah, Imran Ashraf & Saqib Ubaid. (2023) Smart Techniques for LULC Micro Class Classification Using Landsat8營magery. Computers, Materials & Continua 74:3, pages 5545-5557.
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Syeda Shamaila Zareen, Sun Guangmin, Yu Li, Mahwish Kundi, Salman Qadri, Syed Furqan Qadri, Mubashir Ahmad & Ali Haider Khan. (2022) A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features. Computational Intelligence and Neuroscience 2022, pages 1-11.
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Punam & Rakesh Goyal. (2022) Analysis of Automatic Plant Disease Classification Using Image Processing Techniques. Analysis of Automatic Plant Disease Classification Using Image Processing Techniques.
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.
Sathian Dananjayan, Yu Tang, Jiajun Zhuang, Chaojun Hou & Shaoming Luo. (2022) Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images. Computers and Electronics in Agriculture 193, pages 106658.
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Sharifah Farhana Syed-Ab-Rahman, Mohammad Hesam Hesamian & Mukesh Prasad. (2021) Citrus disease detection and classification using end-to-end anchor-based deep learning model. Applied Intelligence 52:1, pages 927-938.
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Amin Nasiri, Amin Taheri-Garavand, Dimitrios Fanourakis, Yu-Dong Zhang & Nikolaos Nikoloudakis. (2021) Automated Grapevine Cultivar Identification via Leaf Imaging and Deep Convolutional Neural Networks: A Proof-of-Concept Study Employing Primary Iranian Varieties. Plants 10:8, pages 1628.
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Samreen Naeem, Aqib Ali, Christophe Chesneau, Muhammad H. Tahir, Farrukh Jamal, Rehan Ahmad Khan Sherwani & Mahmood Ul Hassan. (2021) The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach. Agronomy 11:2, pages 263.
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Asad Khattak, Muhammad Usama Asghar, Ulfat Batool, Muhammad Zubair Asghar, Hayat Ullah, Mabrook Al-Rakhami & Abdu Gumaei. (2021) Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model. IEEE Access 9, pages 112942-112954.
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Salman Qadri, Tanveer Aslam, Syed Ali Nawaz, Najia Saher, Abdul- Razzaq, Muzammil Ur Rehman, Nazir Ahmad, Faisal Shahzad & Syed Furqan Qadri. (2021) Machine Vision Approach for Classification of Rice Varieties Using Texture Features. International Journal of Food Properties 24:1, pages 1615-1630.
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