Empowering small farmers with AI-based solutions using Flask, ML, React, IoT soil sensors, and data analytics to boost crop yield, reduce costs, and enable smart, data-driven agricultural decisions.
Project Idea: : Empowering Small and Marginal Farmers with AI-Driven Agricultural Solutions
Problems: Smallholder farmers face different issues while selecting a fertilizer and crop we have came up with a solution which will resolve this issue.
Solution: We have created an ML model which will recommend the best suited crop and fertilizer in their locality based on the soil nutrients.
We have made a hardware model which will take data from the soil and based on that the farmers will be easily able to put that in our ML model and get the best suited crops and fertilizer.
Benefits:
This will increase their yield when the proper fertilizer is used.
When proper crops are planted they will get the best yield.
This will increase the profit of the farmers.
Our objective:
The main objective behind this project is the welfare of farmers and promote farming such that if any individual have no idea about farming they can easily start with the help of our hardware and software models.
Accuracy:
Telling about the accuracy the combination of hardware and software will give the best results. The yield of the farmers will increase and they will be profitable.
Deployment link: https://mittisustainableagriculture.vercel.app/
Github: https://github.com/Mitti-SustainableAgriculture/Mitti-SustainableAgriculture