Time Series Prediction of Wheat Crop based on FB Prophet Forecast Framework

The production of wheat plays an important role in the Indian economy. Wheat yield prediction is significant trade, industry, and agriculture to increase profitability better growth for farmers. We propose a model classify using time series analysis FB Prophet algorithm, which considered as than most other supervised learning models with respect accuracy. [1]. study aims evaluate predicted next five years. dataset collected by government agency India [2], considering years 1997 2022, seasonal data, Gujarat state four districts, done Wheat/ Rabi crop. A total 589 instances are from dataset. pre-process train through testing result set, experimental indicates achieves lowest Mean Absolute Percentage Error (MAPE) Root Square (RMSE) summer (10.03 0.39 respectively) when number layer seasonality yearly. will help research community stakeholders make plans sustainable India.