SIH2020_SAAHASi

Official repository for Team SAAHASi for SIH Finals 2020.

Overview

We aim to develop a mobile application that will help the farmers in detection of different types of diseases and will provide affective solutions for the same.

Pre-Requisites

Android Mobile with a working camera

Technologies Used

Python
PyTorch
Android Studio
Fast.ai
OpenCV
Flask
Heroku CLI

Dataset Used

We have used a part of the PlantVillage Dataset for training our Deep Learning Model. Click here to find the codes for the model.

You can find the dataset used here. For the complete PlantVillage Dataset, refer to this link.

In addition to this, we reconciled details for different diseases and which will be used to provide remedies and other important information related to the plant after the disease is detected in the image. You can view the same by following this link.

Server

The model and forum are deployed on the Heroku server and are easily accessible using the following links:

For Model: https://sih-heroku.herokuapp.com/
For Forum: https://flask-by-senju.herokuapp.com/explore?page=1