IOT BASED SMART GREEN HOUSE

Abstract

The growing need for sustainable farming methods has prompted the development
of smart greenhouse technologies that combine advanced automation, data analytics, and ecofriendly
systems. This study describes the design and execution of a smart greenhouse system
aiming at optimising resource consumption and crop output while lowering the environmental
effect of conventional farming. The system uses the Internet of Things (IoT), sensors, and
machine learning algorithms to monitor and adjust critical environmental variables including as
temperature, humidity, soil moisture, and light intensity. The smart greenhouse achieves ideal
growth conditions while minimising water and energy usage by automating irrigation,
ventilation, and fertiliser supply using real-time data.