The primary objective of this research project is to investigate the utilization of time series models in the prediction of oilseed yield in the region of Tamil Nadu, India. The study explores the complex dynamics and relevant elements that impact oilseed farming, highlighting the importance of oilseed production within the agricultural landscape of the region. This study attempts to establish a precise prediction framework for projecting future oilseed yields by utilizing the sophisticated ARIMA (AutoRegressive Integrated Moving Average) and SARIMA (Seasonal AutoRegressive Integrated Moving Average) models. By utilizing historical data and conducting an analysis of seasonal patterns, this study aims to elucidate the temporal variability and fundamental trends that influence oilseed production in the region of Tamil Nadu. The findings obtained from this research will provide valuable inputs for farmers, policymakers, and stakeholders, enabling them to make well-informed decisions. This, in turn, will support the implementation of sustainable agricultural practices and the development of successful strategies to promote the long-term growth and stability of the oilseed industry in the region.