Elsevier AI, Edge and IoT-based Smart Agriculture (Intelligent Data-Centric Systems)

AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. To learn more about Elsevier’s Series, Intelligent Data-Centric Systems, please visit this link: https://www.elsevier.com/books-and-journals/book-series/intelligent-data-centric-systems-sensor-collected-intelligence Review This robust reference encourages a wider adoption of smart farming techniques to address current challenges and stimulate research innovations From the Back Cover <p><i>AI, Edge and IoT Smart Agriculture</i> integrates applications of IoT and edge computing and data analytics for sustainable agricultural development. It introduces Edge of Thing-based data analytics along with IoT for predictability of crop, soil and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management along with smart farming. It provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture.</p> <p>Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture as well as data mining researchers from around the world provide foundational insights. Including contributions from the Data mining, data analytics, Edge of Things and cloud research communities working in the farming production sector the book provides practical application opportunities for the resolution of real-world problems.</p> <p><i>AI, Edge and IoT Smart Agriculture</i> provides the reader with a broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT based agriculture, Edge of Things and cloud based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture towards smart farming.</p> About the Author Dr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with HQ in Seattle, USA has currently more than 1,500 scientific members from over 105 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$. Currently he works as a Professor of Artificial Intelligence in Innopolis University, Russia and is a Chairholder of the Yayasan Tun Ismail Mohamed Ali Professorial Chair in Artificial Intelligence of