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Author 1
Zunaira Zainab
University of Engineering and Technology, Taxila, Pakistan
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Open Access | Research Article | 20 March 2025
Plant Disease Detection Using Deep Learning Techniques
IECE Journal of Image Analysis and Processing | Volume 1, Issue 1: 36-44, 2025 | DOI:10.62762/JIAP.2025.227089
Abstract
Plant diseases create one of the most serious risks to the world's food supply, reducing agricultural production and endangering millions of people's lives. These illnesses can destroy crops, disrupt food supply networks, and increase the danger of food deficiency, emphasizing the importance of establishing strong methods to protect the world's food sources. The approaches of deep learning have transformed the field of plant disease diagnosis, providing sophisticated and perfect solutions for early detection and management. However, a prevalent concern with deep learning models is their susceptibility to a lack of generalization and robustness when faced with novel crop and disease categorie... More >

Graphical Abstract
Plant Disease Detection Using Deep Learning Techniques