Exploiting The Strength of Modified Parrot Optimization Algorithm for Enhancing Rice Leaf Disease Detection Using Convolutional Neural Network and Transfer Learning

Timely and accurate identification of rice leaf diseases is critical for optimizing crop productivity and safeguarding global food security. This study developed an innovative deep learning framework that incorporates the DenseNet121 architecture, op

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Publication Details

Journal
International Journal of Technology
Published
2025-09-22
DOI
https://doi.org/10.14716/ijtech.v16i5.7766
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploiting The Strength of Modified Parrot Optimization Algorithm for Enhancing Rice Leaf Disease Detection Using Convolutional Neural Network and Transfer Learning

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International Journal of Technology
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Exploiting The Strength of Modified Parrot Optimization Algorithm for Enhancing Rice Leaf Disease Detection Using Convolutional Neural Network and Transfer Learning

Ibrahim Hayatu Hassan, Anees Ara, Saeed Ali Bahaj, Sahar Ahmed Idris, Tanzila Saba
article en

Abstract

Timely and accurate identification of rice leaf diseases is critical for optimizing crop productivity and safeguarding global food security. This study developed an innovative deep learning framework that incorporates the DenseNet121 architecture, op

International Journal of TechnologyVol. 16(5)
Openalex Percentile: Top 81%
Smart Agriculture and AI
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