An AI and IoT Based Smart Green Home Sustainability

Indoor air quality (IAQ) also known as the quality of the natural air inside, homes, building and other enclosed spaces where people live or work. It is essential to maintain good indoor air quality because poor (IAQ) can have adverse effects on human well-being. The Research paper described proposed a smart plantation system that uses AI and IoT technologies to monitor and optimize indoor plant growth. With the help of simulation tools, it is possible to analyze and optimize indoor air quality to create healthier and more comfortable indoor environments. In this paper, simulation work is carried out, and the implementation task is considered for extension of work. The simulation proteus software environment is used, which allows microcontroller board and other sensors to make the entire schematic very similar to practical implementation. The smart plantation system utilizes advanced AI algorithms, sensor networks, and automated irrigation systems to create optimal growing conditions for indoor plants. The system is designed to continuously monitor plant health and environmental conditions, making real-time adjustments to the cultivation process. The system will comprise a network of sensors to monitor different quantities such as humidity, temperature, light, and atmospheric and soil moisture. These sensors will transmit the collected data to a central processing unit, where AI algorithms will analyze the information to determine the optimal growing conditions for different plant species.