Next-Gen Food Security: AI and Biotech Innovations for Sustainable Agriculture

Abstract: This research paper explores the transformative integration of artificial intelligence (AI) and biotechnology in advancing sustainable agriculture and ensuring global food security. It examines how AI-driven tools such as machine learning, remote sensing, and precision analytics, alongside biotechnological innovations like CRISPR gene editing, biofortification, and synthetic biology, are revolutionizing farming practices, crop improvement, and resource management. The study highlights case-based evidence and emerging models that demonstrate increased yield, climate resilience, and reduced environmental impact through technology-enabled agriculture. Emphasis is placed on the role of data-driven decision-making, automation, and bio-innovation in addressing food scarcity, optimizing inputs, and supporting sustainable food systems. The paper concludes by presenting strategic recommendations for stakeholders to harness AI and biotech for resilient and equitable agricultural development. Keywords: Food security, Sustainable agriculture, Artificial intelligence, Biotechnology, Precision farming, Machine learning, Gene editing, CRISPR, Biofortification, Climate resilience, Smart agriculture, Remote sensing, Crop improvement, Resource optimization, Agricultural technology