An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification

An Ensemble Hybrid Framework: A Comparative Analysis of Metaheuristic Algorithms for Ensemble Hybrid CNN Features for Plants Disease Classification

A stable and sustainable food supply chain is only possible with effective agriculture management. The application of technology in agriculture has recently produced encouraging outcomes in terms of improving agricultural yield and quality. Early detection and characterization of plant leaf diseases...

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Bibliographic Details
Main Authors: Khaoula Taji, Ali Sohail, Tariq Shahzad, Bilal Shoaib Khan, Muhammad Adnan Khan, Khmaies Ouahada
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Agriculture
convolutional neural network
feature extraction
feature vector (FV)
feature selection
leaf disease classification
Online Access:https://ieeexplore.ieee.org/document/10501767/
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