AI-Driven Genome Editing for Precision Agriculture in a Changing Climate

The urgency of addressing food security amid climate change is imminent, especially with the global population projected to reach 10 billion by 2050. Conventional breeding's limitations in meeting growing demands necessitate alternative approaches. Genome-edited crops, driven by biotechnology, play a crucial role in enhancing productivity, addressing nutritional security, aligning with regional preferences, and boosting foreign exchange reserves. Simultaneously, artificial intelligence empowers farmers with data-driven decision-making, optimizing resource use, reducing waste, and analyzing diverse data sources for insights into crop health, pest management, and yield predictions. The integration of AI enhances genome editing, providing advanced analytical capabilities, optimizing precision, and expediting the identification of beneficial genetic modifications. The synergy of recent advances in genome editing and AI offers viable solutions for farmers adapting to climate change, serving as a valuable academic resource for researchers, policymakers, and stakeholders in climate-smart agriculture.

This Research Topic aims to address the pressing challenge of achieving sustainable global food security amid climate change and an anticipated population of 10 billion by 2050. With a focus on the limitations of conventional breeding, our goal is to explore the transformative potential of biotechnology-driven genome editing. We aim to demonstrate how genome-edited crops can revolutionize agriculture by enhancing productivity, ensuring nutritional security, and aligning with regional preferences. Simultaneously, we explore the application of artificial intelligence (AI) in genome editing including target selection, off-target validation and mutant analysis. Our objective is to elucidate how AI empowers farmers through applications in genome editing for crop yield and nutrition. This integration of AI enhances genomic capabilities, optimizing precision and expediting the identification of beneficial genetic modifications. In summary, this work aspires to be a comprehensive resource for researchers, policymakers, and stakeholders in climate-smart agriculture, contributing substantively to the discourse on sustainable farming practices.

• Research articles focusing on genome editing for yield improvement
• Research articles focusing on genome editing for nutritional quality
• Review articles on the advanced genome editing tools
• Research articles focusing on the application of AI for genome editing
• Review articles focusing on the application of AI for genome editing

Keywords: Genome editing, artificial Intelligence, climate change, sustainability, agriculture

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