Predictive Analytics in Smart Agriculture

Saravanan Krishnan, A. Jose Anand, Narayanan Prasanth, Sam Goundar, Christo Ananth

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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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2023
First published:	2024
Editors:	Saravanan Krishnan • A. Jose Anand • Narayanan Prasanth • Sam Goundar • Christo Ananth
Dimensions:	234 x 156mm (L x W)
Pages:	344
ISBN-13:	978-1-03-247950-7
Categories:	Books Promotions
LSN:	1-03-247950-7
Barcode:	9781032479507