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Classification of Citrus Plant Diseases Using Deep Transfer Learning PDF

17 Pages·2022·English
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by ['FIKRI FAHRESI']| 2022| 17 pages| English

About Classification of Citrus Plant Diseases Using Deep Transfer Learning

This document proposes a new deep learning technique for classifying six diseases of citrus plants using transfer learning. Two pre-trained deep learning models are used to extract features from images of citrus plants with different diseases. Image augmentation and contrast stretching are applied to increase the size and quality of the dataset. Feature fusion and the Whale Optimization Algorithm are used to select an optimized feature set for classification. The proposed technique achieves a classification accuracy of 95.7%, outperforming recent methods. It provides an automated way to identify citrus diseases and help improve fruit quality and crop yields.

Detailed Information

Author:['FIKRI FAHRESI']
Publication Year:2022
Pages:17
Language:English
Format:PDF
Price:FREE
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