DETECTION AND CLASSIFICATION OF POTATO LEAF DISEASE USING  DEEP CONVOLUTIONAL NEURAL NETWORK

Shreenidhi Hegde, Srinivas P M

DETECTION AND CLASSIFICATION OF POTATO LEAF DISEASE USING DEEP CONVOLUTIONAL NEURAL NETWORK

Authors

Shreenidhi Hegde, Srinivas P M

Abstract

The main objective of this project is to develop a robust and efficient system capable of automaticallydetecting and classifying diseases in potato leaves using Deep Convolutional Neural Networks(DCNNs). Traditional methods fo

References

J. Pasalkar, G. Gorde, C. More, S. Memane, V. Gaikwad, "Potato Leaf Disease Detection

Using Machine Learning," Current Agriculture Research Journal, vol. 11, no. 3, 2023.

U. Y. Tambe, A. Shobanadevi, A. Shanthini, H. C. Hsu, "Potato Leaf Disease

Classification using Deep Learning: A Convolutional Neural Network Approach," arXiv

preprint arXiv:2311.02338, 2023.

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Published

2024-08-21

How to Cite

Shreenidhi Hegde, Srinivas P M. (2024). DETECTION AND CLASSIFICATION OF POTATO LEAF DISEASE USING DEEP CONVOLUTIONAL NEURAL NETWORK . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4826–4833. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2982