Harmonizing Urbanization and Food Security: A Novel AI-Driven Approach for Sustainable Urban Agriculture

Urban Farm DB summary

This research introduces an AI-based model that uses satellite imaging, machine learning, and demographic projections to optimize urban agriculture. The model integrates soil analysis, water availability prediction, crop recommendations, and population growth projections for informed decision-making. It aims to optimize land use and balance urbanization, food security, and environmental sustainability.