The two-stage roadmap
The Ministry of Natural Resources and the National Development and Reform Commission have issued an implementation opinion to accelerate the adoption of artificial intelligence in the natural resources sector, with the stated aim of supporting the intelligent upgrading of the territorial planning system known as "one map." The news was reported by broadcaster CCTV and relayed by IT之家, which cites the document without publishing its full text.
The plan sets two deadlines. By 2028, the aim is a demonstration application of artificial intelligence in the sector, with the construction of high-quality datasets, large models and intelligent agents in key areas: geospatial and temporal information, territorial planning and governance, the sea, geology and mineral resources, forests and grasslands. The intermediate goal is to raise the level of automation of the "map" and produce replicable application scenarios.
By 2030, artificial intelligence should be integrated throughout the entire natural resources management chain, with the creation of a foundational platform for intelligent territorial governance. The document also states that key technologies and intelligent devices must be secure and controllable and that the sector's level of digital governance must rank among the international leaders.
What changes at the operational level
The document provides for the organization of five artificial intelligence pilot platforms, one for each of the thematic areas identified, conceived as shared services combining computing capacity, model training, algorithm updates, scenario validation and ecosystem building. According to the source's description, this is a horizontal structure intended to serve multiple sectors rather than separate developments.
Eight demonstration scenarios are also indicated, including integrated "sky-ground-sea-network" monitoring, intelligent territorial planning, management of the natural resources asset base and management of disasters related to the sector. The source does not specify timelines, funding or implementation responsibilities for individual scenarios, nor the details of the remaining four.
The value of the news lies in the shift from isolated experiments to a declared architecture: shared datasets, models and agents, common testing platforms and replicable scenarios. If implemented, the model could reduce data fragmentation between areas that currently operate with separate systems, but the document, as reported, does not clarify technical standards, data-sharing methods or criteria for verifying results.
To be verified
Several points remain open. The journalistic source does not make the text of the opinion public: it is therefore impossible to verify the degree of binding force on local authorities, the resources allocated and the indicators chosen to measure achievement of the 2028 and 2030 goals. The expression "secure and controllable" referring to technologies and devices is also not defined in the available material.
A comparison of the two deadlines suggests a declared sequence: first the construction of databases and sector-specific models, then integration into a single platform. However, it is not indicated how the five experimentation hubs will merge into the 2030 platform, nor which entities, public or private, will be involved in implementation. These elements will need to be verified against the official text of the opinion.
