In an effort to transcend the traditional approach of supply and demand that dominates the agricultural market, the focus has shifted to harnessing the power of machine learning to facilitate price discovery and volume management for crops. This endeavor aims to construct a dynamic model, paired with a user-friendly application, to predict real-time prices and manage crop volumes at electronic marketplaces in the agriculture sector. The ultimate goal is to empower farmers with advanced tools for better forecasting and planning, leading to improved market performance.this model isn’t just about predicting prices. It's about creating a holistic tool that integrates various market forces and data-driven insights to present a comprehensive outlook on market trends. Through this innovative application, farmers will not only gain visibility into current price fluctuations but also receive projections that account for seasonal patterns, regional demand, and other socio-economic factors. This proactive approach allows for smarter decision-making, enabling farmers to strategically time their crop sales, optimize their yield management, and maximize their economic returns. The integration of such technology marks a significant step towards modernizing agriculture, bridging the gap between traditional practices and the digital economy.