Inspiration
The main inspiration behind the project was the news headlines. We constantly heard about crop surplus and financial losses to the farmers. This made us think about a solution for the cause.
What it does
It predicts the demands of various crops . This will provide the farmers an opportunity to the farmers to know if they are growing the right crop before actually planting the seeds. It gets the supply chain from the Kishan ledgers and compares the demand prediction and supplies.
How we built it
We have used Android to create a mobile application for the front end of the system. And the database and authentication is done by the firebase. For implementing linear regression we have used Python. And we have collected the data set from Indian government's official Agricultural statistics.
Challenges we ran into
Collecting the data set. Integrating linear regression with android as there is no in-built support for python.
Accomplishments that we're proud of
Completion of the prototype. Finding the data set.
What we learned
We learned a great bit about the Lekhpal and Kishan ledger mechanism. We also learned about the agricultural officer and his responsibilities.
What's next for Smart Seeds
Using multi- linear regression which takes account of sales, weather, rain, soil conditions and location parameters. To provide recommendations to the farmers about growing crops for the collective good.
