AI  Edge and IoT based Smart Agriculture
  • Release Date : 15 June 2021
  • Publisher : Academic Press
  • Categories : Business & Economics
  • Pages : 570 pages
  • ISBN 13 : 0128236949
  • ISBN 10 : 9780128236949
Score: 4
From 245 Ratings

Synopsis : AI Edge and IoT based Smart Agriculture written by Ajith Abraham, published by Academic Press which was released on 15 June 2021. Download AI Edge and IoT based Smart Agriculture Books now! Available in PDF, EPUB, Mobi Format. AI, Edge and IoT Smart Agriculture 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. 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. AI, Edge and IoT Smart Agriculture 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. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring and farm management Presents data mining techniques for precision agriculture including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability