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An Innovative Approach for Classifying Plant Diseases Using Deep Learning |
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PP: 19-26 |
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doi:10.18576/aeta/130102
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Author(s) |
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Ahmed Solyman,
Ismail A. Elhaty,
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Abstract |
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| The classification of plant diseases is essential for the agricultural industry to promptly identify and address
crop challenges. The numerous errors and inefficiencies in existing ailment identification approaches prompt the
advancement of enhanced methods. This study uses deep learning, namely the EfficientNet method, to strengthen the
classification of plant diseases. Through rigorous research and meticulous refinement, the EfficientNet model has been
optimized to achieve an impressive accuracy of 99.68%. The findings demonstrate that deep learning can accurately
and rapidly categorize plant illnesses, improving agricultural efficiency.
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