Revolutionizing Agriculture Rentals: Machine Learning Demand Forecasting in AgroRentHub

Abstract - Demand forecasting is a crucial part in optimizing agricultural rentals by analyzing future demands using historical data and market trends. This paper focuses on the integration of machine learning algorithms in AgroRentHub for optimizing resource planning, inventory management, and customer satisfaction. With the help of linear regression and visualization techniques, the approach reduces decision and operating efficiency. The article explains various forecasting techniques and their impact on the agricultural farming sector, providing a glimpse into how predictive analytics can revolutionize equipment rental companies