Department of Information and Communication Technology (ICT)

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    Comparative Analysis of Fruits Disease Detection using Different types of CNN Architecture
    (Comilla University, 1-Feb-2025) Islam, Md. Tohidul; Alam, Kursed
    Fruit diseases faces significant challenges to agricultural productivity, leading to substantial economic losses globally. Early and accurate detection of these diseases is crucial for effective management and prevention. In recent years, Deep Learning, particularly Convolutional Neural Networks (CNNs), has emerged as a powerful tool for image classification and disease detection in agriculture.