Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement

Wheat Leaf Disease Detection: A Lightweight Approach with Shallow CNN Based Feature Refinement

Improving agricultural productivity is essential due to rapid population growth, making early detection of crop diseases crucial. Although deep learning shows promise in smart agriculture, practical applications for identifying wheat diseases in complex backgrounds are limited. In this paper, we pro...

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Bibliographic Details
Main Authors: Oumayma Jouini, Mohamed Ould-Elhassen Aoueileyine, Kaouthar Sethom, Anis Yazidi
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:AgriEngineering
Subjects:
wheat leaf diseases
deep learning
transfer learning
hybrid model
lightweight model
edge device
Online Access:https://www.mdpi.com/2624-7402/6/3/117
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