Data farming is a method used to collect and analyze large sets of data to generate insights, identify patterns, and improve decision-making processes. It is often associated with simulation and modeling, where extensive data is produced through experiments or simulations, and then this data is analyzed to inform strategic choices in various fields, including military operations, logistics, healthcare, and business. In the context of simulations, data farming typically involves running many different scenarios to see how variations in parameters affect outcomes.
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