Next-Gen AI-Based Smart Greenhouse

Modern agriculture requires sustainable and efficient practices to address rising food demand and limited resources. This paper presents the design and development of a Next-Gen AI-Based Smart Greenhouse that combines Internet of Things (IoT) monitoring with artificial intelligence (AI) techniques for precision farming. A Raspberry Pi serves as the main controller, collecting data from temperature, humidity, soil moisture, and light intensity sensors. The acquired data is processed using predictive models to optimize irrigation, lighting, and humidification in real time. The system also supports cloud integration for remote monitoring and decision- making. Experimental evaluation shows improvements in resource utilization and environmental adaptability compared with conventional greenhouse methods. The proposed approach demonstrates the feasibility of integrating IoT and AI for enhancing crop growth and sustainability in controlled agricultural environments.