A Transfer Learning-Based Efficient Model for the Detection of Plant Leaf Diseases
Abstract
Keywords
References
- Afsharpour P, Zoughi T, Deypir M & Zoqi M J (2024). Robust deep learning method for fruit decay detection and plant identification: enhancing food security and quality control. Frontiers in Plant Science, 15, 1366395.
- Albahar M (2023). A survey on deep learning and its impact on agriculture: Challenges and opportunities. Agriculture 13(3): 540
- Altieri M A (1995). Agroecology: the science of sustainable agricultura. Boulder: Westview Press Inc. 433 pp
- Anand R, Veni S & Aravinth J (2016). An application of image processing techniques for detection of diseases on brinjal leaves using k-means clustering method. Paper presented at the 2016 international conference on recent trends in information technology (ICRTIT).
- Bajpai C, Sahu R & Naik K J (2023). Deep learning model for plant-leaf disease detection in precision agriculture. International Journal of Intelligent Systems Technologies and Applications 21(1): 72-91
- Biswas S, Jagyasi B, Singh B P & Lal M (2014). Severity identification of potato late blight disease from crop images captured under uncontrolled environment. Paper presented at the 2014 IEEE Canada international humanitarian technology conference-(IHTC).
- Brahimi M, Boukhalfa K & Moussaoui A (2017). Deep learning for tomato diseases: classification and symptoms visualization. Applied Artificial Intelligence 31(4): 299-315
- Brahimi M, Mahmoudi S, Boukhalfa K & Moussaoui A (2019). Deep interpretable architecture for plant diseases classification. Paper presented at the 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).
Details
Primary Language
English
Subjects
Agricultural Biotechnology Diagnostics
Journal Section
Research Article
Authors
Zunaira Zainab
This is me
Pakistan
Rabbia Mahum
*
0000-0003-1983-8201
Pakistan
Emad Abouel Nasr
This is me
Saudi Arabia
Mohammad Shehab
This is me
Jordan
Haseeb Hassan
This is me
China
Mohammed El-meligy
This is me
Jordan
Publication Date
September 30, 2025
Submission Date
February 8, 2025
Acceptance Date
May 21, 2025
Published in Issue
Year 2025 Volume: 31 Number: 4