Application is able to predict crop using soil parameters. It also provide crop cultivation details to the user.
It is Train on 20+ crops based on soil parameters and delivering cultivation details to
farmers for the recommended crops.
# Data fields
N - ratio of Nitrogen content in soil
P - ratio of Phosphorous content in soil
K - ratio of Potassium content in soil
temperature - temperature in degree Celsius
humidity - relative humidity in %
ph - ph value of the soil
rainfall - rainfall in mm
• Developed an application predicting over 20+ crops based on soil parameters and delivering cultivation details to
farmers for the recommended crops.
• Implemented robust security measures, incorporating Bcrypt encryption and JWT authentication to ensure secure
access control based on roles.2 way encryption Django.
• It was train using Random Forest, achieving an accuracy rate of 90%
- User can register to the website.
- User can add soil details to the predection page.
- User can see the cultivation details for all the predicted crops on his/her dashboard.
- Machine Learning Model for predicting the crops based on soil parameters.
| Title | Image |
|---|---|
| Login Page | |
| Registration Page | |
| Dashboard | |
| PredictionPage | |
| CropsDetailsPage |
- Start the npm server (command - nodemon app.js)
- Run pyserver.py file and then follow the video
- Open chrome and type localhost:3000.