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IoT-Driven Automation Systems for Hydroponic Agriculture
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Author(s): Komala C. R. (Department of Information Science and Engineering, East Point College of Engineering and Technology, Bengaluru, India), M. Varalatchoumy (Department of Artificial Intelligence and Machine Learning, Cambridge Institute of Technology, India), Megha Kulkarni (Department of Civil Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India), Sreenivasa Setty (Department of Computer Science and Engineering, AMC Engineering College, Bengaluru, India), Heena Kousar (Department of Computer Science and Engineering, East Point College of Engineering and Technology, Bengaluru, India)and Boopathi S (Muthayammal Engineering College, Namakkal, India)
Copyright: 2025
Pages: 22
Source title:
Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch017
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Abstract
The paper develops an analysis in terms of the transformational impacts of IoT-driven automation systems in hydroponic agriculture. Sensors, actuators, and data analytics through IoT enable the creation of smart responsive environments for hydroponic systems. IoT automation enables real-time monitoring and control of variables relating to nutrient levels, pH, temperature, and humidity for optimally maximized growth and resource utilization. The architectural framework of IoT systems in hydroponics is explained with regard to sensor deployment for real-time data, as well as utilization of machine learning algorithms for predictive analytics, in addition to case studies illustrating improved yields, reduction in water and nutrient utilization, and lower operational cost. And finally, the chapter will conclude with insights into future trends, which include further advancements in AI and robotics, leading to further innovations in automated hydroponic farming systems.
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