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{191784,
        author = {Prof.Pradeepkumara V H and Shasheelkumar Jambagi and Abhishek Balagaon and Deepak Kopparad},
        title = {Greenhouse Monitoring and Control System using IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8332-8336},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191784},
        abstract = {This project describes the development of an IoT-based greenhouse monitoring and control system using the Raspberry Pi Pico microcontroller integrated with various sensors (DHT11 for temperature and humidity, LDR for light, and a soil moisture sensor) and actuators (fan, pump, humidifier, and light). The Raspberry Pi Pico collects real-time data from the environment, displays readings on a local LCD, and uploads sensor values to the Thing Speak cloud via an ESP8266 module for remote visualization and monitoring. System logic automatically controls actuators when sensed parameters cross predefined thresholds, assisting optimal plant growth and resource efficiency. This solution offers a cost-effective, flexible, and scalable approach for modern agriculture applications, especially supporting remote environmental management for greenhouses.},
        keywords = {Internet of Things, webserver, greenhouse, agriculture, control systems, sensors},
        month = {January},
        }