Artificial Intelligence and Farmers’ Income: Evidence from Adilabad District of Telangana State

Abstract

Artificial Intelligence (AI) is emerging as a transformative technology in agriculture, capable of enhancing productivity, optimizing resource use, and increasing farmers’ income. This study investigates the role of AI in improving farmers’ income in Adilabad district of Telangana State. The research is based on primary data collected from 100 farmers using structured questionnaires and interviews. The study examines awareness, adoption, and utilization of AI technologies such as mobile advisory applications, weather forecasting tools, and digital crop management systems. Statistical analysis was performed using SPSS, including descriptive statistics, cross-tabulations, Chi-square tests, t-tests, and One-Way ANOVA to assess the impact of AI adoption on income. The results indicate that a majority of farmers have moderate to high awareness of AI, and AI adoption is significantly associated with higher income levels. Farmers with higher levels of AI adoption experience better income growth and improved economic stability. The study suggests policy interventions, training programs, and infrastructure development to enhance AI adoption and promote sustainable agricultural development.