Inspiration
Farmers are producing crops without knowing the conditions of their land which causes them not touching the utmost potential. That's why we have tried to make an easy way to take smart farming decisions.
What it does
AgriFit AI solve the unknowing decision issue by predicting proper crop with proper detailed recommendation by analysing land's and weather condition.
How we built it
We have built it through training a prediction model by using Random Forest SML which has higher accuracy then others. Also used Django in backend development to take data and accumulate with front end.
Challenges we ran into
We have faced challenges to deploy the project.
Accomplishments that we're proud of
We are proud of our proper recommendation system which will help our farmers to take smart decision which help them to meet their highest potential.
What we learned
We have learned that agriculture prediction has so many factors to notice.
What's next for AgriFit AI
Next is to deploy it in general for all over the world.
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