Fertilizers play a pivotal role in global food production, but their inefficient utilization poses significant challenges for sustainability. This study explores the captivating world of nitrogen, phosphorus, and potassium (NPK) use efficiency and employs the powerful Auto Regressive Integrated Moving Average (ARIMA) model to forecast their future trends. Through a meticulous research design rooted in the renowned Box-Jenkins Methodology, we embark on an exciting journey to unravel the mysteries surrounding NPK utilization. The objectives of this study are fourfold: (1) identify the ARIMA model with the highest performance in predicting NPK utilization efficiency, (2) assess the accuracy of ARIMA models in forecasting nutrient use efficiency, (3) project NPK fertilizer use efficiency values for the years 2022, 2024, 2026, 2028, and 2030, and (4) explore the potential impacts arising from the forecasted NPK fertilizer use efficiency. Our research design embraces the predictive power of the Box-Jenkins Methodology, a time-honored approach for time series analysis and forecasting. Leveraging data from the Food and Agriculture Organization (FAO) and employing Python, we processed decades of NPK fertilizer use efficiency data. Following meticulous data preprocessing steps and statistical treatments, we unleashed the ARIMA models upon the dataset. The findings of this study are enthralling.