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Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM

Abstract Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early and precise detection of crop diseases, hen...

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Main Authors: Md. Jawadul Karim, Md. Omaer Faruq Goni, Md. Nahiduzzaman, Mominul Ahsan, Julfikar Haider, Marcin Kowalski
Format: Artigo
Language:Inglês
Published: Nature Portfolio 2024-07-01
Series:Scientific Reports
Subjects:
Grape leaf disease
Image processing
Lightweight CNN
Embedded system
Grad-CAM
Online Access:https://doi.org/10.1038/s41598-024-66989-9
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