This paper is published in Volume-11, Issue-2, 2025
Area
Machine Learning
Author
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M
Org/Univ
Sri Shakthi Institute of Engineering and Technology, Tamil Nadu, India
Keywords
Hydroponics, IoT (Internet of Things), Smart Farming, Precision Agriculture, Automation, Real-time Monitoring, Data-driven Agriculture, Remote Control, Predictive Analytics, Artificial Intelligence (AI), Machine Learning.
Citations
IEEE
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M. Design and Development of an Automated Hydroponics System Based on IoT with Data Logging, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M (2025). Design and Development of an Automated Hydroponics System Based on IoT with Data Logging. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M. "Design and Development of an Automated Hydroponics System Based on IoT with Data Logging." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M. Design and Development of an Automated Hydroponics System Based on IoT with Data Logging, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M (2025). Design and Development of an Automated Hydroponics System Based on IoT with Data Logging. International Journal of Advance Research, Ideas and Innovations in Technology, 11(2) www.IJARIIT.com.
MLA
Manisha S, Karisni K, Gokul Raj V, Josphin M Sajith, Haritha M. "Design and Development of an Automated Hydroponics System Based on IoT with Data Logging." International Journal of Advance Research, Ideas and Innovations in Technology 11.2 (2025). www.IJARIIT.com.
Abstract
Integrating the Internet of Things (IoT) with hydroponic farming offers a powerful solution to the limitations of traditional hydroponic systems by introducing automation, real-time monitoring, and data-driven decision-making. Sensors continuously track environmental parameters, triggering automated adjustments to maintain optimal conditions. Data logging and analysis enable farmers to identify patterns, predict issues, and refine growing strategies. Remote access and control enhance scalability and reduce labor. This fusion aligns with precision agriculture principles, minimizing resource waste and promoting sustainable practices. The potential extends to large-scale commercial operations, where AI and machine learning can further optimize productivity. Ultimately, IoT-based hydroponics represents a significant advancement towards a more efficient, sustainable, and resilient agricultural future.