Leveraging AI for Sustainable Growth in AgTech: Business Models in the Digital Age

Manoj Chowdary Vattikuti

Abstract


The agricultural industry is undergoing a significant transformation driven by digital disruption, with artificial intelligence (AI) playing a central role in reshaping AgTech business models. This study explores how AI technologies, including machine learning, computer vision, and predictive analytics, are revolutionizing agricultural practices to improve efficiency, sustainability, and productivity. By examining the integration of AI into crop management, precision farming, supply chain optimization, and resource management, the research highlights how AgTech companies are leveraging AI to address global challenges such as climate change, food security, and environmental degradation. The paper discusses the opportunities AI presents for enhancing decision-making, reducing operational costs, and driving sustainable agricultural practices. However, it also addresses the challenges related to data accessibility, integration of new technologies, and the need for regulatory frameworks to ensure ethical and equitable application. This research offers insights into the evolving AgTech landscape and how AI-driven business models are paving the way for a more sustainable agricultural future

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References


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