machines to detect mineral resources (PDF) Use of Artificial Intelligence, Machine Learning Implementation of Artificial Intelligence (AI), machine learning, and autonomous technologies in the mining industry started about a decade ago with the first application to autonomous trucks.
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Detecting deeply buried, highly conductive massive sulphides, such as nickel, is a job best to be done by portable magnetic mineral exploration tools. One of the most powerful devices is LANDTEM, which uses highly sensitive magnetic sensors known as SQUIDs (superconducting quantum interference devices) to distinguish the ore from other conductive material.
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machines to detect mineral resources. machines to detect mineral resources Preferential mineral-microfracture association in intact The relative mineral weight percents for the siliceous samples were quartz >clay >calcite, while the mineral weight percents for the EF samples were calcite >clay >quartz (Daigle et al, 2017a) In addition to the Ca and C EDS images, we compared the incidence of.
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machines to detect mineral resources. machines to detect mineral resources Preferential mineral-microfracture association in intact The relative mineral weight percents for the siliceous samples were quartz >clay >calcite, while the mineral weight percents for the EF samples were calcite >clay >quartz (Daigle et al, 2017a) In addition to the Ca and C EDS images, we compared the incidence of.
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