ABSTRACT:- In the backdrop of escalating food security concerns and the pressing need for sustainable agricultural practices in developing countries, this study explores the transformative potential of AI-driven entrepreneurship in agro technology. The research delves into how innovative AI applications are being leveraged by entrepreneurs to revolutionize farming practices, enhance crop yields, and ensure environmental sustainability. Through a mix of qualitative and quantitative methodologies, including detailed case studies, the paper examines the current state, challenges, and advancements in the integration of AI technologies in the agricultural sector of developing nations. It highlights the critical role of AI in predicting and mitigating crop diseases, optimizing resource use, and improving supply chain efficiencies. The findings reveal that while AI-driven solutions offer significant promise in addressing food scarcity and promoting sustainable agriculture, they are also beset by challenges related to technological adoption, affordability, and infrastructure. The paper concludes with policy recommendations aimed at fostering an enabling environment for AI entrepreneurship in agriculture, thereby contributing to economic growth, food security, and environmental conservation. This study not only contributes to the academic discourse on agro technology but also provides practical insights for policymakers, entrepreneurs, and stakeholders in the agricultural sector.

Keywords:- AI-Driven Entrepreneurship, Agro technology, Sustainable Practices, Technology Adoption, Policy Recommendations