Soil Test Based Smart Agriculture Management System

The estimation of crop based on the soil is essential nowadays for increasing the yield. In this paper, a soil-based crop selection and fertilizer management system has developed and a normalized approach to characterize the composition of bare soil, metalloids, and mesological parameters. From the statistical analysis, we collect the data for various soils and which crop is suitable for cultivation to produce maximum yield for a particular field. Various sensors, such as humidity sensor, temperature, and camera, are used to control and monitor the agriculture field. In this study, the area around Tanjavur, Tamilnadu has been considered for the crop selection of that area. Irrigation is controlled by water level sensors, GSM, and a controller. An APP has developed to identify a suitable crop for the agriculture area, and it can easily install in the farmer's mobile phone itself. Simulation has done using Matlab for four different crops. The results indicate that the proper utilization of fertilizers protects the agricultural field and increases productivity. An experimental setup is developed and tested under different test conditions.