Abstract:The demographic reality of a large population and limited land resources in China necessitates the implementation of the world’s most stringent cultivated land protection system. Effective, timely, and accurate monitoring of the status of cultivated land protection red line is essential to ensuring cultivated land protection and food security. The development of cutting-edge technologies such as remote sensing big data, cloud computing, and artificial intelligence has provided new opportunities for cultivated land control and monitoring. This article systematically elaborates on the current research status and challenges in the field of cultivated land protection redline control and monitoring, including the establishment of the monitoring object system, the availability of remote sensing data, the accuracy, and timeliness of monitoring results, and other related issues. It introduces advanced technologies and prospects for big data technology in cultivated land redline monitoring and proposes innovative technical solutions for cultivated land redline monitoring. The article also discusses the challenges faced in achieving this paradigm shift in research and provides corresponding recommendations on the connotations of cultivated land protection, delineation of basic land units, and the construction of monitoring networks for implementing national land spatial planning.