Abstract
With the growing global population and the increasing challenges of climate change on agricultural production, developing high-yield and resilient crop varieties has become increasingly urgent. Integrating artificial intelligence (AI) and gene editing technologies offers a groundbreaking solution to this issue. This article systematically explores the application of AI and gene editing in high-yield crop breeding, covering areas such as genome big data analysis, precise gene editing, phenotype prediction, resource optimization, and environmental adaptability assessment. Through case studies, the paper demonstrates the successful application of these technologies in key crops like rice and wheat. It provides an in-depth discussion of their continual improvement and future development trends. This study aims to offer new insights into agricultural innovation and proposes potential solutions for global food security and sustainable agricultural development.
