Crop prediction is the process of forecasting the yield and growth of agricultural crops based on various factors. These factors include weather conditions, soil quality, and historical data. By analyzing this information, farmers can make informed decisions about planting, irrigation, and harvesting, ultimately improving their productivity and efficiency. Modern technology plays a significant role in crop prediction. Tools such as satellite imagery, drones, and machine learning algorithms help gather and analyze data. This allows for more accurate predictions, enabling farmers to adapt to changing conditions and optimize their crop management strategies for better outcomes.