The human population continues to grow, and specific efforts must be made in order to meet foreseeable food demands. In this paper, it is suggested that an IoT-based fuzzy control system has been used for smart soil monitoring systems. The proposed study is based on the semi-arid regions of India. The real-time data is collected from NPK sensors which are suitable for detecting the content of nitrogen, phosphorus, and potassium in the soil that helps in determining the fertility of the soil thereby facilitating the systematic assessment of the soil condition, and a fuzzy classifier is used to classify the data into three parameters such as sodium, potassium, and calcium which is based on the proposed model which gets trained from a dataset and then select the optimal crop based on sensor results. With the aid of this system, a farmer would be able to monitor soil health in real time environment and also track the growth of their plants. Farmers will be able to enhance productivity while decreasing resource waste with the aid of an IoT-enabled fuzzy system. The experimental data has been collected from Mahoba district, Uttar Pradesh provinces in India, the results show that the proposed system is a more accurate, reliable and precise concept which is used for precision farming that will certainly enhance the overall production of the crop with better quality. These results obtained with the help of the proposed model system have been compared with the existing one with accuracy of the data that has been improved and well accepted.