Prediction and Analysis of Soil properties in Guntur District, Andhra Pradesh

Abstract

A significant statistical analysis is done over Eleven Thousand and Two hundred soil data samples of thirteen villages in Guntur District of Andhra Pradesh. Useful relationship among major soil parameters was found. An analytical approach is used to assess the properties of the soil using pandas, numpy and matplotlib libraries in python. Hidden patterns among the soil properties are identified. By using Random Forest Regressor soil data of Guntur district is predicted with considerably higher accuracy.