Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{207338,
        author = {Meghana AP and Kushala S and Monisha B and Sujan K and Varshini J S},
        title = {Design and Implementation of an AI-Driven Smart Home and Smart Greenhouse Automation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {501-509},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207338},
        abstract = {This paper describes how AI, IoT and Machine Learning can be integrated into a single smart home/greenhouse automation system for improved comfort and ease of use in the home, and better safety and efficiency for agriculture. The smart home module allows the user to control their appliances (lights, heating/cooling, garage door, etc.) through gesture-based control, which means the user does not have to touch any of the devices to operate them. The user also has the ability to control his/her environment based on emotional state through real-time detection of the person's emotional state and adjusting lighting and appliance functions accordingly. Additionally, the system will allow the visually impaired to identify and locate objects and obstacles in an indoor environment through object detection and audio feedback.
The smart greenhouse module contains IoT sensors that continuously monitor greenhouse environmental variables (such as temperature, humidity and soil moisture). From those sensors, it automatically will control irrigation systems, sprinklers, ventilation, and roof opening/closing to provide optimal growing conditions for plants, based on real-time data collected from the sensors. Communication between the sensors and actuators and the AI will be done through an ESP32 microcontroller and will use wireless communication.
The overall system architecture will provide an increase in efficiency (both energy and water), while decreasing the amount of time (manual input) required to operate the systems. The use of AI provides redundancy/reliability through the ability to operate the system in multiple modes depending upon the user's preference.},
        keywords = {Artificial Intelligence, Internet of Things, Smart Home Automation, Smart greenhouse, Gesture Recognition, Voice Recognition, Emotion Detection, Object Detection, ESP32 Microcontroller, Smart Agriculture, Environment Monitoring, Iot sensors.},
        month = {August},
        }