Two phase fuzzy based prediction model to predict Soil nutrient

Soil nutrients play significant role in the crop productivity. The ‘pH’ is one of the main factor which can be used to predict the concentration of nutrients in the soil. In this article, authors have proposed two phase approach to predict soil nutrients. Phase 1 predicts pH value of soil depending on previous time series pH value of soil by using fuzzy model. Phase 2 employs regression model to predict soil nutrients such as Nitrogen (N), Phosphorus (P), potassium (K) based on predicted pH value. The result analysis shows that the experimental results outperforms over statistical parameters.