Overview / Usage

Many a time, farmers do not know which type of disease their crops have, to solve this problem we are proposing a mobile application that can solve the issue. The farmer just has to take an image of the crop and the image will be uploaded to the server. On the server side, we will be using high-performance computing GPUs to feed forward the image in a convolutional neural network which is a popular deep learning network. The CNN model will be trained using different crop disease images and will be able to classify the disease type. The farmer will be notified about the disease and from here, one can do a further procedure to solve the disease.

Methodology / Approach

The farmer just has to take an image of the crop and the image will be uploaded to the server. We use high-performance computing GPUs to feed forward the image in a convolutional neural network which is a popular deep learning network.

Technologies Used

Intel DevCloud, Intel Colfax Cluster, Tesnorflow, Keras, PyTorch.

Repository

https://github.com/vaibhav-patel/SSIP-Classification-of-PlantVillage-dataset