Simulation is being used in recent technologies to anticipate the amount and total crop production and yield in a certain plot of land. The growth of a crop per unit area is referred to as crop yield. This research calculates crop yields over a 20-year period and uses simulation to generate 18 years of crop yields at various places in Nasarawa Local Government Area, Nasarawa State, Nigeria. The goal is to demonstrate the relationship between rainfall variability and crop yield, as well as to simulate crop output using rainfall intensity as a basis. To determine agricultural yield, the study uses time series analysis with linear, quadratic, and growth curve models. The result suggests that rainfall was abundant in the prior year from 2020 to 2038, with an annual rainfall trend of more than 2200mm-2300mm. In the coming years, the agricultural production simulation predicts a faster growth curve and a bountiful harvest.
Author(S) Details
Ibrahim Sufiyan
Department of Surveying and Geoinformatics, Federal Polytechnic Nasarawa, Nigeria.
K. D. Muhammad
Department of Geography, Federal University Lafia, Nigeria.
Mohammed Alkali
Department of Environmental Management, Nasarawa State University Keffi, Nigeria.
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