Research on Urban Agriculture Scene Innovation Driven by Generative AI

Urban Farm DB summary

This study analyzed the impact of generative AI on the intelligent transformation of urban agriculture from theoretical and technical perspectives. Generative AI was shown to be applicable in production optimization, marketing innovation, and farmer education, enhancing resource utilization efficiency and industrial sustainability. However, its widespread application faces challenges such as agricultural data silos, model adaptability, cost, and talent shortages, requiring collaborative support from policies, technologies, and talent.