Leveraging Convolutional Neural Networks for Disease Detection in Vegetables: A Comprehensive Review
Muhammad Mahmood ur Rehman,
Jizhan Liu,
Aneela Nijabat
et al.
Abstract:Timely and accurate detection of diseases in vegetables is crucial for effective management and mitigation strategies before they take a harmful turn. In recent years, convolutional neural networks (CNNs) have emerged as powerful tools for automated disease detection in crops due to their ability to learn intricate patterns from large-scale image datasets and make predictions of samples that are given. The use of CNN algorithms for disease detection in important vegetable crops like potatoes, tomatoes, peppers… Show more
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