In recent years, farmers in the Jashore region of Bangladesh have been struggling to maintain profitability due to rising production costs, limited agricultural land and unpredictable market conditions. This research aims to address farmer challenges by applying linear programming techniques to identify the most profitable crop combination under the specific land, labor and capital constraints for Rabi and Kharif season. Using simplex method, a mathematical model is formed to optimize crop selection and land allocation with the goal of maximizing overall profit. The model considers constraints including total cultivable land, labor availability and investment limits, which are common factors affecting medium scale farmers in the region. An analysis shows that by adopting the optimal crop generated by linear programming model, farmers can significantly increase their net profit without the need for additional land or resources. The result shows the effectiveness of linear programming as a practical tool for data driven agricultural decision making. This approach not only supports better financial outcome for Jashore areas farmers but also promotes more effective and sustainable use of available resources such as land, labor etc. Overall, this study demonstrates that mathematical optimization methods like the simplex method can play a vital role in modernizing traditional farming practices and improving the economic resilience of farmers in Jashore region.