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Abstract

A sequential simulation model is used to test a way to study the relationship between net farm income and land tract dispersion, total acres, machinery size and rainfall. The model simulates the day-to-day sequence of field work on a hypothetical farm simulation varying crop acreage, machinery size and for a wet and dry rainfall situation. Data generated by this model are then analyzed using a regression equation estimating the influence of studied variables on net farm income.

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