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Agriculture plays a pivotal role in India's economy and food security. Understanding the state-wise yield variations of major food crops is essential for informed policymaking and sustainable agricultural practices. This study conducts a comprehensive analysis of state-wise crop yield data for major food crops, including rice, wheat, pulses, and sugarcane. Our findings reveal significant disparities in crop yields across different states in India. Factors such as climate variability, soil quality, irrigation infrastructure, and government interventions have profound effects on crop production. While states like Punjab and Haryana consistently exhibit high yields of wheat and rice, others face challenges in achieving similar productivity. The state-wise variability in crop yields underscores the need for region-specific agricultural strategies. In this study, covariance matrix of nine major food crops have been generated along with graphical representation of state wise food grains. Scatter plot represented nine variables considering major crops in India. Variation has been examined using PCA technique and justification has been done using Scree Plot. Biplots are plotted for all the five components of PCA technique. Kruskal-Wallis Rank Sum Test is conducted for Staple and Nonstaple food crops and found heterogeneity among six zones in India.
Talukdar et al. (Fri,) studied this question.