Cloud IoT Systems for Smart Agricultural Engineering, edited by Saravanan Krishnan, J. Bruce Ralphin Rose, N. R. Rajalakshmi, and N. Narayanan Prasanth, explores how cloud computing, the Internet of Things, machine learning, and related digital technologies can be applied to modern agriculture. The book examines smart farming systems designed to improve monitoring, automation, productivity, and decision-making across agricultural operations. Topics include urban and vertical farming, smart crop and livestock management, precision agriculture using geographic information systems, IoT-enabled monitoring, machine learning applications, cloud-based architectures, and the use of drones in agriculture. Practical implementations, examples, and illustrations connect the underlying technologies with real agricultural challenges. Published as part of the Chapman & Hall/CRC Internet of Things series, the book is aimed primarily at graduate students, researchers, engineers, and practitioners working with agricultural engineering, IoT, smart systems, and technology-driven farming.