When deciding which crop to plant, farmers must balance a number of competing goals. The properties of the soil play a crucial role in estimating crop potential. In order to adjust soils to the nutritional needs of the crops to be grown, fertilization and liming are frequently employed techniques. An intriguing way to limit the need for soil treatment, cut expenses, and prevent environmental harm is to plant the crop that will grow best in the soil. Furthermore, farmers typically search for investments that have the highest potential returns with the fewest risks. Considering the goals at hand, it can be challenging to resolve the crop selection issue with conventional methods. Therefore, in order to assist in choosing a suitable culture plan, this work suggests a method based on multi-objective evolutionary algorithms.