en.Wedoany.com Reported - A comprehensive information-based prospecting prediction and exploration demonstration project for ion-adsorption heavy rare earth minerals in Guangxi, leveraging artificial intelligence, has officially been launched in Nanning. The project recently held its kickoff and implementation plan review meeting, led by the Guangxi 274 Geological Team and jointly implemented with the Institute of Mineral Resources, Chinese Academy of Geological Sciences, marking the entry of this autonomous region key research and development program into the execution phase.

Ion-adsorption rare earth deposits are a crucial deposit type for China's rare earth critical minerals, underpinning international competitive advantage and resource strategic security. As one of the major production areas in southern China, Guangxi boasts numerous deposits and abundant total resources. Rare earths are strictly controlled strategic minerals by the state. Previous exploration often adopted generalized and extensive methods, resulting in insufficient precision in metallogenic prediction and quantitative resource assessment for heavy rare earth deposits, making it difficult to support detailed exploration and scientific management. The newly launched project targets precisely this pain point.

This marks the first time the Guangxi 274 Geological Team has led an autonomous region key R&D program. The project will integrate geological data from the Guangxi Bureau of Geology and Mineral Resources with field exploration experience, leveraging AI technology to construct a multi-source heterogeneous information fusion model. This is of great significance for advancing the intelligent transformation of geological prospecting work and enhancing the level of rare earth resource exploration and development in Guangxi. The project leader stated that the project will focus on breaking through the bottleneck of spatial positioning accuracy for heavy rare earth ore bodies, providing a replicable paradigm for intelligent prediction of ion-adsorption rare earth deposits in southern China, and exploring the formation of an "AI + Geology" cross-innovation practice path in Guangxi.

At the review meeting, the project leader and experts from partner institutions introduced the implementation plan and intelligent prospecting prediction technology. The expert panel deemed the plan scientifically feasible and offered optimization suggestions regarding data integration, exploration demonstration, and AI metallogenic prediction model construction. After the meeting, participants conducted the first phase of joint field reconnaissance in typical ion-adsorption rare earth mining areas within the region, field-investigating the geological characteristics, sampling points, and data collection conditions of typical heavy rare earth deposits, thereby laying an empirical foundation for subsequent multi-source information fusion modeling and target area optimization.

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