Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm

Though many researchers have studied plant leaf disease, the timely diagnosis of diseases in olive leaves still presents an indisputable challenge. Infected leaves may display different symptoms from one plant to another, or even within the same plant. For this reason, many researchers studied the e...

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Bibliographic Details
Main Authors: Abdelhadi, M.O (Author), Alshammari, H. (Author), Ammar, L.B (Author), Boukrara, A. (Author), Gasmi, K. (Author), Krichen, M. (Author), Mahmood, M.A (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Adaptive genetic algorithms
Classification (of information)
Comparative evaluations
Deep learning
Diagnoses of disease
Diagnosis
Disease diagnosis
Genetic algorithms
Leaf disease
Learning algorithms
Learning models
Machine learning methods
Olive leaf
Optimal parameter
Petroleum reservoir evaluation
Plant leaves
Plants (botany)
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