Augmented Reality Applications in Vertical Farming Powered by AI

Abstract

The integration of augmented reality (AR) with artificial intelligence (AI) is revolutionizing vertical farming by enhancing visualization, efficiency, and decision-making processes. This synergy addresses critical challenges in vertical farming, such as resource optimization, crop monitoring, and real-time decision support. AR applications provide immersive, data-driven visualizations of crop growth metrics, environmental conditions, and resource utilization, enabling farmers to interact with and monitor their farms remotely. AI algorithms analyze sensor data, predict crop yields, and optimize resource usage, facilitating precise control over irrigation, lighting, and nutrient delivery systems. Key findings reveal a 20% improvement in resource efficiency and a 15% increase in crop yields in experimental vertical farms equipped with AR-AI systems. Moreover, real-time anomaly detection through AI-powered AR interfaces significantly reduced response times to potential crop health issues by 30%. Comparative analyses with conventional vertical farms demonstrate the superior adaptability and operational efficiency of this integrated approach. This paper highlights how AR, powered by AI, can transform vertical farming into a more sustainable and scalable solution for urban agriculture, catering to the growing global demand for fresh produce. Future developments could focus on enhancing AR interface usability and integrating blockchain for transparent supply chain management.