Soil texture analysis is a critical component of agricultural management because it provides valuable information about the physical properties of soil that directly impact crop growth and yield. The proportions of clay, sand, and silt particles in the soil are referred to as its texture, and these proportions can have an impact on the soil’s aeration, water-holding capacity, and nutrient retention. Soil texture affects the physical structure of the soil, which can influence its aeration and root development. In this paper, it designs a Genetic Based Neural Network to analyze the texture analysis because soil contains small grains which are similar in structure but different in composition.