Our purpose for this project was to create a consistent prediction of the crop yield for the year of 2020. This would help farmers and the agriculture department of Illinois prevent overspending and adopt a more robust approach when treating the soil after extreme weather events across the state . Followed by this, we were driven to create an LSTM model with Linear Regression to predict the annual yield and create a good visualisation of the evolution of the historical data and import them into a React based web application.

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