Estimation of Moisture Content in Soil Using Image Processing

Agriculture is the science or practice of farming, including cultivation of the soil for the growing of crops and the rearing of animals to provide food, wool, and other products. Moisture content in soil is one of the main component which plays important role in yield of crops. The paper aims to introduce software “Soil moisture Assessment”. The software has revolutionized the method to find moisture content in soil. Approach is to turn the manual process to a software application using image processing. Image of the soil with different moisture content are captured and preprocessed to remove the noise of source image. The color and texture characters of moist soil are extracted. Color characteristics analyzed using the RGB and the HSV model. Texture features are analyzed using entropy, energy, contrast, homogeneity. A relationship between extracted features and moisture content is developed. The document goes further to discuss the process used by the authors to develop their engineering capstone project i.e. “Soil moisture Assessment Software”.