Forecasting Crop Price using various approaches of Machine Learning

Agriculture is the Backbone of India. India has major portion of cultivational Land. Many Crops have lot of demand in abroad. India is one of the major exporters of Food products other than software. But due to erratic climatic conditions, lack of human Resource and improper decision making in choosing crops, farmers are not able to make profits. Also due to urbanization, Agriculture Profession is losing its importance slowly. This problem has invited many Researchers to identify the issues and apply several Machine Learning approaches like Autoregressive Integrated Moving Average (ARIMA), Decision trees, Long Short-Term Memory (LSTM), K Nearest Neighbor (KNN) etc. for accurate Yield and Crop Price Prediction. This helps the Farmers to select suitable crops and obtain maximum yield and Profit.