International Journal of Minerals

Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences.

Mining is necessary for economic growth and getting resources, yet also has a big impact on the environment. This article looks at the different ways that mining affects the environment, such as land degradation, deforestation, water pollution, air pollution, and loss of biodiversity.

The increasing concentration of atmospheric carbon dioxide (CO₂) due to anthropogenic activities has necessitated the development of effective carbon sequestration strategies.

Ore beneficiation plays an essential role in the mining industry, as it facilitates the extraction of valuable minerals from their ores while ensuring maximum efficiency and minimal environmental impact.

The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations.

Fiber reinforced polymers (FRP) is used for the corrosion suppression of reinforced concrete structures (RCS).