INTERNET OF THINGS AND ARTIFICIAL INTELLIGENCE: MODERN APPLICATIONS

This book brings together innovative studies that explore the transformative role of digital technologies, artificial intelligence, and connected systems in education and agriculture. The chapters collectively highlight how data-driven and user-centered technological solutions can enhance efficiency, inclusivity, and decision-making across learning and farming environments. The chapter Internet of Things Based Cloud-Integrated Smart Class Attendance System examines how IoT and cloud computing can modernize academic administration by enabling automated, accurate, and scalable attendance management. Complementing this, Mobile Application–Based Management of Student Industrial Work Experience Scheme (SIWES) in Engineering Education focuses on improving coordination, monitoring, and assessment within experiential learning programs through mobile platforms. Advances in intelligent computation are further addressed in Machine Learning: The First Step towards Artificial Intelligence, which provides foundational insights into machine learning concepts and their significance as the backbone of modern AI systems. This theoretical grounding supports the applied perspective presented in Farmer-Centric AI System for Socially Inclusive Smart Irrigation and Crop Monitoring, which demonstrates how AI- driven tools can empower farmers, optimize water use, and support sustainable agricultural practices. Together, these chapters offer a coherent view of how IoT, machine learning, and mobile technologies can be effectively integrated to address real- world challenges in education and agriculture. The book serves as a valuable resource for researchers, educators, engineers, and practitioners interested in building intelligent, inclusive, and technology-enabled systems.