Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization

Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization

Globally, pests and plant diseases severely threaten forestry and agriculture. Plant protection could be substantially enhanced by using noncontact, extremely effective, and reasonably priced techniques for identifying and tracking pests and plant diseases across large geographic areas. Precision ag...

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Bibliographic Details
Main Authors: Irfan Haider, Muhammad Attique Khan, Muhammad Nazir, Ameer Hamza, Omar Alqahtani, M. Turki-Hadj Alouane, Anum Masood
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Agriculture
classification
deep learning (DL)
optimization
remote sensing (RS)
self-attention
Online Access:https://ieeexplore.ieee.org/document/10474107/

Internet

https://ieeexplore.ieee.org/document/10474107/

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