This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Predictive Analysis in Smart Agriculture deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.

1) Scope of this book is to explore and present the modern computational engineering techniques and applications in the agriculture development. Recent technologies such as cloud computing, IoT, Big data, Machine learning are focused here for smart agricultural engineering. This book provides practical and use case oriented approaches for Agro IoT systems. 2) This filed is emerging and hence the proposed book, will remain in demand for at least next 10 years, until there is an impressive advancement in technology. 3) This proposed book covers Automated Agriculture & Use of drones and robotics, hardware innovations to support cost effective agriculture, which are not covered in existing publications.