Technology-driven Emerging -Omics and Sustainable Agriculture provides a comprehensive overview of the transformative potential of advanced tools such as AI, genomics and proteomics to ensure future agricultural production. The integration of genomics, transcriptomics, proteomics, and metabolomics has advanced the understanding of plant and microbial systems and the application of this knowledge has enabled precision farming, optimizing crop yield, and minimizing environmental impact. There are unprecedented opportunities to enhance crop yields, improve pest and disease management, to optimize resource utilization, and to mitigate environmental impacts. Through the use of advanced data analytics, machine learning, and predictive modeling, researchers can decipher complex biological processes and develop innovative solutions for agricultural challenges. Technology-driven Emerging -Omics and Sustainable Agriculture explores the advancements in AI-driven omics technologies, such as genome editing, transcriptomics, and phenomics, and their applications in crop improvement, soil health monitoring, and precision agriculture.