Artificial Intelligence and Internet of Things for Smart Agriculture
Published on 29. December 2025
282 pages
978-1-040-76280-6 (ISBN)
Description
The purpose of this book is to explore the fundamentals and implementation strategies of smart agriculture through the integration of artificial intelligence and Internet of Things technologies. It examines critical aspects of planning and decision-making while providing recommendations for implementing efficient and effective intelligent agriculture solutions. Readers will gain valuable insights into how these smart technologies enhance productivity, sustainability, and precision in contemporary technology-driven farming systems.
This book:
Discusses artificial intelligence-based 3D mapping of soil, smart weeding systems, and crop visualization in smart agriculture.
Covers data analytics-based decision-making, improving crop quality based on precise prediction, minimizing the use of pesticides for better soil quality, and precision farming systems.
Examines problems like weather forecasting, crop prediction, calculation of pesticide quantity, irrigation requirement, and prediction of the right time for seeding.
Highlights the role and importance of data visualization techniques in smart agriculture implementation.
Presents the internet of things and artificial intelligence-based solutions for smart agriculture.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and agricultural science and engineering.
This book:
Discusses artificial intelligence-based 3D mapping of soil, smart weeding systems, and crop visualization in smart agriculture.
Covers data analytics-based decision-making, improving crop quality based on precise prediction, minimizing the use of pesticides for better soil quality, and precision farming systems.
Examines problems like weather forecasting, crop prediction, calculation of pesticide quantity, irrigation requirement, and prediction of the right time for seeding.
Highlights the role and importance of data visualization techniques in smart agriculture implementation.
Presents the internet of things and artificial intelligence-based solutions for smart agriculture.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and agricultural science and engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
18 Tables, black and white; 42 Line drawings, black and white; 12 Halftones, black and white; 54 Illustrations, black and white
File size
144,35 MB
ISBN-13
978-1-040-76280-6 (9781040762806)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Praveen Kumar Shukla | Harshal A. Sanghvi | Ankur Agarwal
Artificial Intelligence and Internet of Things for Smart Agriculture
Book
approx. 12/2025
1st Edition
CRC Press
€132.70
Not yet published
Persons
Dr. Praveen Kumar Shukla is currently serving as a Professor and Dean at the School of Engineering, Babu Banarasi Das University, Lucknow, UP, India. He is also an Adjunct Faculty at the SAU Centre for Research and Innovative Learning (SCRIL), South Asian University, New Delhi. Dr. Shukla is also the executive committee member and Secretary of IEEE CIS UP Chapter. Dr. Shukla holds a Ph.D. in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He also holds M.Tech in Computer Science & Engineering and B.Tech. in Information Technology. His research area includes Fuzzy Systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems), Machine Learning, Computer Vision and Deep Learning He has published more than 60 Papers in reputed International Conferences and International Journals. He has been honoured as keynote speaker and session chair at national/international conferences, faculty development programs and workshops.
Dr. Harshal A. Sanghvi is a Visiting Instructor and Director of Healthcare Analytics at the College of Business, Florida Atlantic University. Dr. Sanghvi has a Ph.D. in Computer Engineering from Florida Atlantic University. He has been teaching and training professionals in areas of Artificial Intelligence and Machine Learning, Immersive Learning, Data Mining, Business Analytics, Social Media, and Web Analytics. His research is focused on Engineering, Applied Sciences, Healthcare Analytics, Computer Vision, Clinical Decision Support Systems, Data Analytics, Neural Networks, Medical Imaging, Internet of Things (IoT), and Artificial Intelligence. He has a blend of industrial and academic experience, which allows him to teach and train professionals with industrial use-cases.
Dr. Ankur Agarwal is a Professor at Florida Atlantic University, USA. He has over 15 years of Academic, Administrative and Industry Experience. He has more than 80 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
Dr. Abhijit S. Pandya is a Professor at Florida Atlantic University, USA and also a Director of Clinical Trials and Research at Specialty Retina Center, FL, USA. He has over 33 years of Academic, Administrative and Industry Experience. He has more than 100 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
Dr. Harshal A. Sanghvi is a Visiting Instructor and Director of Healthcare Analytics at the College of Business, Florida Atlantic University. Dr. Sanghvi has a Ph.D. in Computer Engineering from Florida Atlantic University. He has been teaching and training professionals in areas of Artificial Intelligence and Machine Learning, Immersive Learning, Data Mining, Business Analytics, Social Media, and Web Analytics. His research is focused on Engineering, Applied Sciences, Healthcare Analytics, Computer Vision, Clinical Decision Support Systems, Data Analytics, Neural Networks, Medical Imaging, Internet of Things (IoT), and Artificial Intelligence. He has a blend of industrial and academic experience, which allows him to teach and train professionals with industrial use-cases.
Dr. Ankur Agarwal is a Professor at Florida Atlantic University, USA. He has over 15 years of Academic, Administrative and Industry Experience. He has more than 80 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
Dr. Abhijit S. Pandya is a Professor at Florida Atlantic University, USA and also a Director of Clinical Trials and Research at Specialty Retina Center, FL, USA. He has over 33 years of Academic, Administrative and Industry Experience. He has more than 100 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
Content
1. Artificial Intelligence and Drones: Revolutionizing Smart Farming through Precision and Automation 2. Enhancing Food Quality Assurance: Leveraging the IoT for Smart Agriculture Monitoring from Pre to Post-Harvest 3. Leveraging Machine Learning for Weather Condition Prediction and Enhanced Crop Production in Agriculture 4. Artificial Intelligence Based 3D Mapping for Soil 5. Machine Learning for Data-Driven Agriculture 6. The Role of Chatbots in the Agriculture Sector 7. Efficient and Sustainable Farming: Harnessing Drone-Based Intelligent Spraying for Herbicides and Pesticides 8. IoT-Based Smart Irrigation Systems: Augmenting Water Management for Crops 9. Robotics in Agriculture to Deal with the Labour Crisis 10. A Smart Irrigation System for Efficient Water Requirements Using Weather Prediction 11. Drones: Their Impact on Agriculture 12. Livestock Management Using the Internet of Things 13. Agricultural Supply Chain 14. Smart Weeding Systems: Advancements and Challenges
