BANANA LEAF DISEASE PREDICTION USING CONVOLUTIONAL NEURAL NETWORKS
Keywords:
Banana Leaf Disease; Machine Learning; Deep Learning; Classification; Convolutional Neural Network.Abstract
Banana leaf diseases such as Black Sigatoka, Fusarium Wilt, and Bacterial Wilt pose a significant threat to global banana production, affecting both yield and quality. Early detection and classification of these diseases are critical for mitigating losses and improving crop management. This study proposes a deep learning-based solution using Convolutional Neural Networks (CNNs) to predict and classify banana leaf diseases from image data. The dataset, comprising images of healthy and diseased banana leaves, was pre-processed and augmented to enhance model performance.
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