Determination of Crop Suitability Based on Soil pH Using Image Processing and ANN

Indian economy is largely agriculture based. With the increasing population, there is need for technological advancements in the field of agriculture to increase the yield and to satisfy the entire population. Determination of soil pH is important in finding the crop suitability. Soil pH measures the acidity or alkalinity of the soil. Soil has various elements like nitrogen, phosphorus, potassium, calcium, magnesium etc. Their varying amount determines the soil pH and the color of the soil. Crop suitability and the amount of nutrients available is based on the range of soil pH. In our work, RGB-based soil pH detection and crop suggestion system is developed which makes use of image processing techniques and ANN, in finding out the pH value and composite nutrients of the soil. The system provides 95% accuracy compared to laboratory results. This system is fast, simple and cost-effective means to provide soil pH values for the captured soil images and can be used for various applications. Our application suggests the suitable crops based on the pH value.