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What is Arecanut Disease Detection with CNN about?

This document presents a study on the classification and detection of diseases affecting areca nut crops using machine learning techniques, specifically convolutional neural networks (CNN). The proposed system aims to automate disease identification, improving accuracy and efficiency compared to traditional visual inspection methods, achieving an accuracy rate of 88.46%. The study highlights the significance of areca nuts in India

Author

doyah72615

Language

EN