Created on 20th March 2022
•
The argiculture sector in India is a host to over a 100 million people, but unfortunately only a few of them are financially capable of availing sophisticated monitoring solutions to supervise their fields, and assist in yield prediction. Crop yield prediction is a basic, yet impressive implementation of Machine Learning which could empower the average farmer to have an insight about the upcoming yield which could prevent mistakes such as under spending or over borrowing. Also, this could enable them to assess which crop would be most suitable this season.
An issue that we ran into was the fact that most of our target audience doesn't even have access to machines powerful enough to run the ML model. For this, we propose sending the input data onto cloud servers where the processing will take place and returning the output to the user.