Innovative Urban Vertical Farming Startup: A Sustainable Entrepreneurship Idea for 2025

Abstract

This study aims to explore the concept of an urban vertical farming startup integrated with IoT and artificial intelligence (AI) technologies to enhance efficiency and sustainability of food production. The method employed is a qualitative conceptual approach supported by secondary data analysis from market reports and scientific literature on modern farming technologies. The study population includes agribusiness practitioners and agricultural technology observers; purposive sampling is used to select relevant data. Data collection is conducted through literature review and SWOT analysis, followed by descriptive analysis. Findings indicate that a business model combining vertical farming with AI and IoT has potential to increase crop yields, reduce resource usage, and lower carbon emissions. The conclusion is that this startup model represents a sustainable entrepreneurship opportunity that can support urban food security. Recommendations include pilot project implementation and collaboration with technology partners to optimize the concept’s deployment.