An Approach to Predict Soil Nutrients and Efficient Irrigation for Agriculture with Spatial Data Mining

Availability of water plays an important role in agriculture. Any type of crop that has to be grown with fine quality and good output depends on fertility of the soil. There have been some techniques like k-means, SVM etc. and other procedure to test the fertility of the soil of which some are not accurate and some are meant with high cost requirements. Data mining has attracted almost all the fields in the world even agriculture, many applications of data mining techniques are utilized by this sector .In this paper, to extract the soil properties, making soil attributes into consideration data mining methodologies and techniques are applied so that the soil type and characteristics can be known suitable for the crop cultivation. Here, the major concept is to predict the water percentage for irrigation in the soil for agricultural productivities by using spatio temporal data mining methods.