Abstract: Cobalt-rich crusts are enriched in rare metals such as cobalt (Co), manganese (Mn), and nickel (Ni), these crusts are also enriched in rare earth elements (REE), platinum group elements (PGE), and other rare metals. Chinese researchers have sequentially employed various methods including the arithmetic average method, adjacent area method, geological block method, Geostatistics( Kriging method), grid division integration method, and fractal theory method , to evaluate cobalt-rich crust resources and assess the resource quantity. These findings have provided key support for the regional termination of the cobalt-rich crust exploration contract area signed by China and the International Seabed Authority in 2014. This study systematically reviews the current evaluation methods of cobalt-rich crust resources, discusses the main methods of cobalt-rich crust resources evaluation and their advantages and disadvantages in more detail, divides the evaluation parameter levels of cobalt-rich crust resources according to their importance, and proposes to construct a three-dimensional solid model of deep-sea crust deposits with the help of big data artificial intelligence technology. Intelligent evaluation of cobalt-rich crust resources by using machine learning and other advanced technologies is an important development direction in the future.