EXPERT SYSTEM FOR CROP YIELD FORECASTING USING MACHINE LEARNING TECHNIQUES

The economy of an agricultural country is primarily dependent on the growth of agricultural yields and agroindustry products. Agricultural crop production depends on seasonal, organic, and monetary causes. Farm yield forecasting is a task that is both of challenging and rewarding for every nation. Due to scarcity of water resources and erratic climate changes, farmers are extremely hostile to producing a yield. Proposed system provides a solution for farmers by tracking field parameters and increase productivity to a large extent by applying integrated data from various sources on Machine Learning techniques to forecast the most cost-effective harvest based on current soil and weather conditions, the productivity of crop yield will be increased by the predictive analysis. As a result of this forecast, the most suitable crop is chosen, increasing the value and benefit of the farming region.