This study digs into the complex factors that impact the cultivation of pulses in Tamil Nadu, India. The study's overarching goal is to identify the primary determinants influencing pulse production in the region through the application of an integrative methodology that takes into account the influential variables of soil quality, climate fluctuations, and farming practices. The study's primary goal is to develop a robust framework for long-term yield prediction using state-of-the-art ARIMA (AutoRegressive Integrated Moving Average) and SARIMA (Seasonal AutoRegressive Integrated Moving Average) models for pulses. The study utilizes historical data to investigate the intricate interconnections within the agricultural ecosystem by analyzing seasonal fluctuations, trend patterns, and other dynamic factors impacting pulses output. This study's findings can help improve food security and agricultural resilience in Tamil Nadu by informing the creation of data-driven initiatives, the promotion of sustainable farming practices, and the design of policy.