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Green Intelligence in Agriculture: Integrating AI-Driven Irrigation, Energy Management, and Sustainability for Eco-Smart Farming System
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Author(s): R. N. Ravikumar (Marwadi University, Rajkot, India)and S. Aarthi (Marwadi University, Rajkot, India)
Copyright: 2026
Pages: 34
Source title:
Enhancing Autonomous and Adaptive Systems With AI and IoT
Source Author(s)/Editor(s): Ben Othman Soufiene (King Faisal University, Saudi Arabia)
DOI: 10.4018/979-8-3373-3146-1.ch008
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Abstract
The integration of AI and IoT is transforming autonomous systems, enabling data-driven solutions in industries like precision farming, smart irrigation, utility maintenance, healthcare, manufacturing, and transportation. This work presents a framework explaining AI-powered IoT networks and their role in industrial automation. It highlights AI techniques like machine learning and real-time analytics to enhance efficiency. The research examines challenges in AI-IoT integration, such as energy management, security, interoperability, infrastructure limits, and data privacy. Implementation examples show how these technologies transform smart cities and industries, improving decision-making and adaptability. It also explores the societal and ethical impacts of AI-driven innovation, emphasizing fairness and sustainability. Additionally, the text outlines future directions in emerging agriculture technologies, and government policies in farming. By fostering collaboration, it provides insights for experts and engineers, equipping them with tools to develop efficient AI-driven frameworks.
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