Assessment of the effects of urbanization processes in Mbeya Urban, Tanzania by fusing U-Net neural networks, Markov Chains, and Von Neumann’s Spatial Dynamics
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The main objective of this research is to investigate land use changes in urban areas and establish their impacts on agricultural growth. The study aspires to provide knowledge for urban planners in preserving agrarian areas, which are essential to meet food demands for the growing population. The research aims to give insightful experience to policymakers, natural resources professionals, and researchers to help monitor land use and natural resources.
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Markov chains, cellular automata, CA-Markov chains, land use, machine learning, land cover