To prevent and control the "non-agriculturalization" and "non-grainization" of arable land and permanently designated basic farmland，China must comprehensively establish a Field Manager System aimed at the protection of these lands.This platform is supported by digital technologies and focuses on the regulation of arable land use.By integrating microservices architecture，distributed storage and search technologies，and relational databases，the system ensures the real-time availability，accuracy，and security of data.This integration facilitates large-scale，high-concurrency storage， querying，loading，and high-quality management of arable land-related data. Furthermore，leveraging multiple defense mechanisms—including human defense，technical defense，and institutional defense—the platform employs a comprehensive array of technological methods such as satellite remote sensing （RS）， Geographic Information Systems （GIS），the Internet of Things （IoT），artificial intelligence （AI），big data analytics， and mobile communications.These technologies enable the comprehensive，dynamic，and intelligent identification and monitoring of problematic arable land，thereby enhancing the timeliness and accuracy of issue detection，improving the efficiency of manual field inspections，and reducing labor management costs. Ultimately，by constructing an intelligent supervision platform for the Field Manager System in arable land protection，the platform achieves functionalities including arable land data management，field inspection task management，anomaly reporting and handling，problem verification and rectification，equipment maintenance，personnel management，and responsibility assessment.This integration forms an end-to-end closed-loop process encompassing the monitoring， discovery，warning，reporting，review，rectification，and case handling of arable land issues.Consequently，it enhances arable land protection planning and supervision，standardizes the management processes for arable land protection， strengthens interdepartmenta