Agriculture is a cornerstone to India’s economy. It is the fuel to food security, employment and GDP contribution in the country. Despite its importance, this sector faces numerous challenges like resource limitations, lack of storage facilities, non-uniform production levels, etc., to name a few. It is imperative to address and overcome these challenges in order to harness this sector for the country’s growth. The potential of emerging technologies has sparked considerable interest across India. Despite having knowledge and expertise in these technologies, the country has not yet been able to fully utilize its benefits in the agricultural sector. The interplay between agricultural production and independent factors such as land under cultivation, GDP, gross irrigated area and budget allocation remains untapped. This paper focuses on exploring this untapped research gap using the data spanning over the years from 2015 to 2024. Through the secondary data sources such as Reserve Bank of India and the Department of Agriculture and Farmers Welfare, the paper employs regression analysis to develop four models with the chosen dependent and independent factors. The analysis highlights the positive correlation between agricultural production and the independent variables, with variation in elasticity. The analysis is further interpreted to provide actionable suggestions for government, corporations and farmer cooperatives.