This paper reviews the diverse applications of Artificial Intelligence (AI) in agricultural land planning, highlighting how AI enhances agricultural production efficiency, optimizes resource allocation, and strengthens decision-making quality to promote sustainable agriculture. The article discusses AI's role in land suitability analysis, precision agriculture, integration into decision support systems, and the challenges and limitations of technology, emphasizing AI's significant role in advancing sustainable agricultural development and future research directions. Despite challenges such as data quality, model transparency, and ethical issues, AI's application prospects remain broad, potentially becoming a significant driving force in agricultural land planning and global food security.
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Peng Li (2024) studied this question.
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