Rainfall Prediction with Agricultural Soil Analysis

Abstract

In India, the last drawback baby-faced by the farmers is the choice of correct yield for farming. There are several factors that influence the yield of crop like rain, temperature, soil, etc. Crop prediction helps farmers in choosing correct crop for plantation to maximize their earning. Prediction of crops may be accurately through with the help of data mining techniques and considering the environmental parameters. During this work, the classifiers used area unit support vector machine and data processing. Prediction of crop is completed by considering parameters like quantity of rain, least and most temperature, soil type, humidity, and soil, pH, scale price. The information is collected from the agricultural website of geographical area. The information is split into 9 agricultural zones. Associate interface has been designed through that farmers will enter the specified information to predict the crop. Classification of soil is required in order that farmer can recognize the sort of soil and may plow the crops counting on the sort of soil.