Abstract

The agricultural sector plays a crucial role in the economy, providing food and raw materials while sustaining livelihoods for millions. However, one of the significant challenges faced by farmers is the unpredictability of crop prices. Market fluctuations can be influenced by various factors, including weather conditions and government policies. Predicting these prices accurately can lead to better decision-making, optimizing production, and improving profitability. With advancements in technology, machine learning (ML)