Sustainable Cropping Patterns in the AI Era: A Study in Karimnagar District of Telangana State
Keywords:
Sustainable cropping, Artificial Intelligence, precision agriculture, AI adoption, resource optimizationAbstract
This study investigates sustainable cropping patterns among farmers in Kothapalli of Karimnagar, focusing on the influence of Artificial Intelligence (AI) tools on decision-making, productivity, and ecological sustainability. Using primary data collected from 150 respondents, the research explores existing cropping patterns, farmers’ adoption of AI-enabled technologies, challenges, and outcomes. The results reveal significant correlations between AI adoption and increased crop yield, optimized resource use, and improved farming decisions. Key challenges include limited digital literacy, infrastructure gaps, and cost barriers. Practical recommendations for policy and practice are suggested.
References
Kumar, P., & Rao, S. (2020). Digital transformation in Indian agriculture: Opportunities and challenges. Journal of Agricultural Economics, 45(2), 123–136.
Ramesh, V. (2021). Precision agriculture and sustainable cropping systems. International Journal of Agricultural Sciences, 13(4), 245–258.
Sharma, A., & Patel, R. (2022). Artificial intelligence in agriculture: Enhancing productivity and sustainability. Journal of Sustainable Development, 15(3), 67–81.
Singh, M., Verma, R., & Das, A. (2023). Machine learning applications in crop yield prediction. Precision Agriculture Journal, 24(1), 89–104.
Government of Telangana. (2024). Agricultural Statistics of Telangana State. Directorate of Economics & Statistics.
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