Published Paper Details:

This paper analyzes the economic associations between artificial intelligence (AI) adoption and agricultural outcomes across six districts in Tamil Nadu's Cauvery Delta region from 2018 to 2023. Using comprehensive secondary data from 12 official sources, including Tamil Nadu Agricultural University reports and NABARD assessments, we estimate significant positive correlations between AI adoption intensity and key performance metrics. Our multivariate regression models, controlling for district and farm characteristics, indicate that districts with higher AI adoption show correlations with a 28% increase in net returns per hectare (95% CI: 24-32%), a 32% reduction in irrigation water requirements (95% CI: 28-36%), and a 24% decrease in fertilizer consumption (95% CI: 20-28%). Economic analysis reveals benefit-cost ratios of 2.0-2.8 across technology packages, with sensitivity analysis confirming robustness. The findings highlight AI's potential contribution to Sustainable Development Goals 2 (Zero Hunger) and 6 (Clean Water) through climate-smart agricultural intensification. Findings suggest policy interventions to scale AI-based precision systems under India's Digital Agriculture Mission.