Integrative Multi-omics and Artificial Intelligence (AI)-driven Approaches for Superior Nutritional Quality and Stress Resilience in Crops

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Integrative Multi-omics and Artificial Intelligence (AI)-driven Approaches for Superior Nutritional Quality and Stress Resilience in Crops is written by Simardeep Kaur and published by Frontiers Media SA. It's available with International Standard Book Number or ISBN identification 2832568610 (ISBN 10) and 9782832568613 (ISBN 13).

The integration of multi-omics and AI-driven approaches represents a cutting-edge frontier in agricultural research, aiming to enhance the nutritional quality of crops. Multi-omics combines genomics, transcriptomics, proteomics, metabolomics, and other omics technologies to provide a comprehensive understanding of biological systems at multiple levels. These technologies facilitate the identification of key genes, pathways, and metabolites that contribute to nutritional traits and stress resilience in crops. Artificial Intelligence (AI) further amplifies this potential by analyzing complex omics data, predicting outcomes, and guiding precise genetic modifications. By utilizing AI, researchers can expedite the breeding process, optimize metabolic pathways, and tailor crops to meet specific nutritional goals. This integrative approach promises to revolutionize crop improvement strategies, addressing global challenges related to food security, malnutrition, and agricultural sustainability. The convergence of multi-omics and AI not only accelerates the development of nutrient-rich crops but also enhances their adaptability to environmental stresses, ensuring a more resilient and nutritious food supply.