• Chethana Keshava Shettigar
• Dyna Pemmaiah K
• Kiran
• Sanjana K S
• Shashmitha V

This study has been undertaken to design and evaluate SmartAgro, an AI-powered decision support system aimed at assisting farmers with data-driven agricultural practices. The system integrates machine learning models to provide intelligent recommendations for optimal crop selection, fertilizer usage, and crop rotation planning tailored to specific regional and soil conditions. Monthly agricultural datasets including soil health, climatic variables, and crop yield data spanning recent years have been used for model training and validation. The analytical framework includes supervised learning models for classification and regression to support sustainable and profitable farming practices.

SmartAgro, crop recommendation, fertilizer suggestion, crop rotation, machine learning, sustainable agriculture, AI in farming.

"SMARTAGRO: AN AI-POWERED ADVISORY SYSTEM FOR CROP SELECTION, FERTILIZER OPTIMIZATION, AND SUSTAINABLE FARMING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.838-843, July-2025, Available :http://www.jetir.org/papers/JETIRGX06159.pdf

"SMARTAGRO: AN AI-POWERED ADVISORY SYSTEM FOR CROP SELECTION, FERTILIZER OPTIMIZATION, AND SUSTAINABLE FARMING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp838-843, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06159.pdf