A Preview of Natural Vegetation And Pedodiversity in India Estimated Using Data Mining Techniques

Our country is rich in Natural resources and Agriculture is the backbone of India. Due to the exploitation of mankind for development in various fields these resources get depleted. At the same time, the natural vegetation also called Virgin vegetation grows naturally without human aid. The vegetation might be classified based on the region, climate and soil where there is such growth. Soil is essential for the growth of any plant and its formation is called pedogenosis. Natural vegetation is strongly influenced by climatic changes such as atmospheric condition, ocean, sea and vegetation which form the Earth System Model (ESM). The soil is classified based on the different characteristics and soil samples are considered by index properties such as plasticity, consistency, toughness etc. Chemical substances like hydrogen pH,-sodium measured by Exchangeable Sodium Percentage (ESP) are also considered. This study reveals how the Data Mining (DM) techniques are incorporated to model the significance of vegetation. The agricultural products that affect the country's social, environmental and economic factors need to be evaluated. Data mining is a procedure of separating/comparing important information from an extensive database utilizing diverse tools and methods, and extracting only the vital data and outlining them into helpful data form. The DM algorithms and their specific approaches are used to assess vegetation and soil using vegetation maps and their related datasets.