Abstract
In recent years, the application of Artificial Intelligence (AI) in the agricultural sector has fundamentally transformed traditional agricultural practices, particularly in soil management. This article explores various applications of AI in soil management and its role in driving smart agriculture. By analyzing existing literature and case studies, this article elucidates the potential of AI technologies such as machine learning, remote sensing, and robotics in optimizing soil health, increasing crop yields, and reducing environmental risks. Furthermore, it discusses the challenges and opportunities faced in the widespread application of AI in soil management and proposes strategies to maximize its advantages in agriculture. This article aims to provide more scientific and intelligent solutions for agricultural production, thereby promoting sustainable agricultural development.
