Computational Intelligence in Internet of Agricultural Things (Studies in Computational Intelligence, 1170)
by 作者: M. G. Sumithra (Editor), Malathy Sathyamoorthy (Editor), M. Manikandan (Editor), Rajesh Kumar Dhanaraj (Editor), Mariya Ouaissa (Editor)
Publisher Finelybook 出版社: Springer
Edition 版本: 2024th
Publication Date 出版日期: 2024-08-28
Language 语言: English
Pages 页数: 472 pages
ISBN-10 书号: 3031674499
ISBN-13 书号: 9783031674495
Book Description
This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader’s comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.
From the Back Cover
This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader’s comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.
