Crop Yield Prediction Dashboard

A data-driven dashboard for agricultural productivity forecasting Developed a machine learning-based dashboard to predict crop yield using historical weather, rainfall, and soil condition data. Integrated SQL for efficient data storage and querying, and used Python for data cleaning, preprocessing, and model building. Visualized predictive results and key performance indicators in Power BI to help farmers and policymakers make informed decisions. • Collected and processed agricultural datasets using SQL queries and Python (Pandas, NumPy). • Built regression models to predict crop yield with 85% accuracy. • Created Power BI dashboards for regional yield visualization and performance insights. say these in another way