Discovering the Unknown Patterns of Crop Production Using Clustering Analysis

Abstract

In a developing country, the factors that improve the Gross Domestic Product (GDP) value should show an increasing trend in the graph. Agriculture is one such factor that contributes about 14% to the GDP of India. After the Green Revolution, India has taken a step ahead toward the growth of the agriculture industry. Growing population demands for a huge crop production. This research work focuses on the factor that accounts for crop growth. The crop data analysis is done for different seasons (i.e., Summer, Autumn, and Winter). The clustering technique of data mining is used to find interesting patterns to relate the area and production and how these factors have taken an upscale.