Quantitative Analysis Of Yield Trends In Wheat, Rice, And Corn Using Secondary Data For Sustainable Crop Improvement

Abstract

This paper uses a quantitative methodology to analyse secondary data to assess the yield patterns and production dynamics of three cereal foods of global significance: wheat, rice, and corn. Using publicly available data sets of agricultural surveys, international food agencies and government reports, this research study analyses multi-year yield information in different Agro-climatic areas. The analysis of yield variability, growth rates and possible yield gaps is measured by statistical analysis such as time-series analysis and regression modelling. This aim is to establish trends and variables affecting crop productivity to aid in the empirical decision-making in crop enhancement schemes. This method offers a practical, cost-effective, and precise model of tracking the performance of crops and the management of sustainable agricultural methods without involving primary data gathering, which is resource-consuming. It is believed that the findings provide useful information to researchers, agronomists, and policymakers who are working on improving the world's food security by managing crops optimally.