Leaf Disease Identification Using Convolutional Neural Network And Deployment

Leaf Disease Identification Using Convolutional Neural Network

And Deployment

Abhishek Garg1

1B Tech Student, Dept. of Information Technology, MAIT, Delhi, India

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Abstract - In the recent years there has been a decline in the production of potatoes around the world due to several fungal diseases that are not only decreasing the quality but also the quantity of potatoes that are produced globally. The most common diseases are “early blight” and “late blight”. However, on the bright side, these diseases can be detected in their early stage by looking at the leaves of the potato plant. Although it is not possible to achieve this by human eyes but this can be done by making use of convolutional neural networks which are deep learning networks which are implemented to accomplish tasks that involves visual input such as images. In this paper we will talk about the development and deployment of a convolutional neural network which can accomplish this task.

Key Words: Classification, Artificial Intelligence, Deep Learning, Neural Networks, Convolutional Neural Network, Deployment.