A novel framework for potato leaf disease detection using an efficient deep learning model-Reference-Cited by-同舟云学术

A novel framework for potato leaf disease detection using an efficient deep learning model

Published:2022-04-19 Issue:2 Volume:29 Page:303-326
ISSN:1080-7039
Container-title:Human and Ecological Risk Assessment: An International Journal
language:en
Short-container-title:Human and Ecological Risk Assessment: An International Journal

Author:

Mahum Rabbia¹,Munir Haris¹,Mughal Zaib-Un-Nisa²,Awais Muhammad³,Sher Khan Falak⁴,Saqlain Muhammad³,Mahamad Saipunidzam⁵,Tlili Iskander⁶

Affiliation:

1. Department of Computer Science, University of Engineering and Technology-Taxila, Taxila, Pakistan

2. Department of Physiology, University of Sindh, Jamshoro, Sindh, Pakistan

3. Department of Biochemistry and Molecular Biology, University of Sialkot, Punjab, Pakistan

4. Department of Biotechnology, University of Sialkot, Punjab, Pakistan

5. Department of Computer and Information Science, Universiti Teknologi PETRONAS, Perak, Malaysia

6. Physics Department, College of Science, Al-Zulfi, Majmaah University, Al-Zulfi, Saudi Arabia

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Pollution,Ecological Modeling

Link

https://www.tandfonline.com/doi/pdf/10.1080/10807039.2022.2064814

Reference52 articles.

1. Amara J, Bouaziz B, Algergawy A. 2017. A deep learning-based approach for banana leaf diseases classification. Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband.

2. Ashqar BA, Abu-Naser SS. 2018. Image-based tomato leaves diseases detection using deep learning. http://dstore.alazhar.edu.ps/xmlui/handle/123456789/278

3. Plant Disease Detection by Leaf Image Classification Using Convolutional Neural Network

4. Severity identification of Potato Late Blight disease from crop images captured under uncontrolled environment

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