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This study utilizes deep convolutional neural networks (CNN) to differentiate between three morphologically similar species of the Cinnamomum genus: C. osmophloeum, C. burmannii, and C. insularimontanum, which are often confused due to their appearance. By analyzing leaf images, the researchers developed classifiers that achieved a test accuracy of up to 96.7%, significantly outperforming traditional support vector machine classifiers. The findings highlight the potential of deep learning techniques in addr

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