Created on 12th February 2023
•
In the local remote areas where there is no facility for farmers to know what crop they should grow and what diseases their crops are suffering from it becomes extremely difficult for farmers to make a planned strategy
Our project is made to complement the exact same thing and solve the misery of farmers
1)We provide suggestions on which crop would be best for farmers depending upon their geographical location and the soil they have using Machine learning
2)We provide fertilizer suggestions and tips on how they can increase their yield by using simple domestic ways
3)Crop disease identification using Deep Learning to make sure no crop gets wasted just because of unawareness
What makes us different from others
Things might look pretty easy but farms also have a lot of parameters actually affect the growth a lot like N,K, and P parameters of soil, and how geographical locations actually affect the growth of crops in that region. We had to research these topics a lot and in the end came up with a machine-learning model that perfectly fits our needs, integrating the ML model is a troublesome task with node js so we decided to proceed with flask so that we could easily integrate our ML models
We tried deploying it on repl.it but for some reason, sklearn library was creating some issues and we were not able to deploy it successfully :(