Advanced neural network architectures for tomato leaf disease diagnosis in precision agriculture

Advanced neural network architectures for tomato leaf disease diagnosis in precision agriculture

Abstract This study addresses the critical challenge of detecting and classifying tomato leaf diseases using advanced deep learning technologies, a pivotal step in enhancing productivity within precision agriculture. We developed a novel diagnostic system capable of categorizing tomato leaves into t...

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Bibliographic Details
Main Authors: Hritwik Ghosh, Irfan Sadiq Rahat, Md. Mintajur Rahman Emon, Md. Jisan Mashrafi, Mohammed Abdul Al Arafat Tanzin, Sachi Nandan Mohanty, Shashi Kant
Format: Article
Language:English
Published: Springer 2025-04-01
Series:Discover Sustainability
Subjects:
Hybrid model
Grad-CAM
LIME techniques
Architectures
Vision Transformer
Online Access:https://doi.org/10.1007/s43621-025-01149-1
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https://doi.org/10.1007/s43621-025-01149-1

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