Study, Design and Construction of a Smart Domestic Mini Greenhouse

Abstract

This project presents the design and implementation of a smart mini greenhouse that leverages the Internet of Things (IoT) and Artificial Intelligence (AI) to optimize environmental conditions for plant growth. The system integrates various sensors to monitor temperature, humidity, soil moisture, and light levels. Based on real-time data, actuators are controlled to automate irrigation, sunroof adjustment, and window operations. The hardware is managed by an Arduino-based microcontroller, while a custom PCB ensures efficient and compact integration. Furthermore, the system employs an AI algorithm to detect and respond to rapid temperature changes, thereby protecting plants from thermal shock. This project demonstrates how embedded systems and smart technologies can significantly enhance agricultural productivity, resource efficiency, and sustainability on a big scale.