The main goal of Smart Agritech: Robotics, AI, and Internet of Things (Io T) in Agriculture is to explore how emerging technologies such as robotics, artificial intelligence (AI), and Io T can be leveraged to improve efficiency, sustainability, and productivity in agriculture.
Agriculture has always been a vital sector of the global economy, providing food and raw materials for industries and households. However, with the growing population, changing climate conditions, and limited resources, the agriculture sector faces numerous challenges. To address these challenges, farmers and agricultural companies are turning to advanced technologies such as Robotics, Artificial Intelligence (AI), and the Internet of Things (Io T).
This exciting new volume provides a comprehensive overview of the latest technological advances in agriculture, focusing on these three cutting-edge technologies. The book will explore the potential benefits of these technologies in improving agricultural efficiency, productivity, and sustainability.
Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.
قائمة المحتويات
Preface xxiii
1 Introduction to Smart Farming: Definition, Importance and Trends 1
Manoj Kumar Mahto, Santosh Kumar Srivastava and Basant Sah
2 Overview of Robotics in Agriculture: Types and Applications 29
Praveen Kantha, Durgesh Srivastava, Santosh Kumar Srivastava, Sunil Kr. Maakar and Basant Sah
3 Digital Farming: The New Era of Agriculture-Opportunities and Challenges 57
Anju Khandelwal and Avanish Kumar
4 Challenges and Barriers to Smart Farming Adaptation: A Technical, Economic, and Social Perspective 75
Shivam Tiwari, Barkha Bhardwaj, Deepak Arora and Sabita Khatri
5 Sustainable Development in Agriculture: Soil Management 113
Shivani Dubey, Rishav Yadav, Vikas Singhal and Anoop Dixit
6 Concepts of Robotics, AI, and Internet of Things (Io T) in Agriculture 143
Devesh Kumar Bandil and Pankaj Rahi
7 Data Analytics in Agriculture: Predictive Models and Real-Time Decision-Making 169
Raman Kumar, Harpreet Kaur Channi and Harish Kumar Banga
8 Examining the Role of Io T and AI in Revolutionizing Agriculture: A Smart Farming Approach 201
Santosh Kumar Srivastava, Manoj Kumar Mahto, Sheo Kumar, Deepak Kumar Verma and Hare Ram Singh
9 Smart Agri Tech: Sensors & Networks 227
Bikram Kar and Amit Kumar
10 Internet of Things in Agriculture: Sensor, Network and Communication Protocol 261
Rajeev Kumar, Surinder Singh and Prem Prakash
11 An Irrigation System: Design, Implementation, and Benefits 309
Shilpa Mahajan
12 Implementation of Smart Irrigation Systems 329
Jabar H. Yousif, Ghassan Al-Kindi, Ahmad. K. Kayed and Durgesh K. Srivastava
13 Smart Plant-Based Wastewater Treatment for Agricultural Irrigation Systems 351
Rituparna Saha and Amit Biswas
14 Drones in Agriculture: Mapping, Monitoring, and Decision-Making 373
Umangkumar B. Zalavadiya
15 Investigation of Banana Plant Disease Detection Using Transfer Learning 393
R. Karthickmanoj and S. Aasha Nandhini
16 Exploring Dataset for Apple Leaf Disease Detection: A Focus on Horticulture 419
Anupam Bonkra, Sunil Pathak and Amandeep Kaur
17 Optimizing Crop Yield Prediction Using Machine Learning Algorithms 443
Rejuwan Shamim and Trapty Agarwal
18 Analyzing Smart Farming Technologies: A Study on Indian Farmers’ Adoption Trends 489
Nilesh Tejrao Kate, Upasana Acharya and Chandraprabha Vaidya
19 Leveraging Linear Regression Model to Address Food Insecurity in the United States: A Smart Agritech Approach 505
Anoushka Tomar, Shivani Dubey, Vikas Singhal and Ajay Kumar Sahu
About the Editors 545
Index 547
عن المؤلف
Santosh Kumar Srivastava, Ph D, is an assistant professor in the Department of Computer Science and Engineering, School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India, since 2022. He completed his Ph D in Computer Science and Engineering in 2021 from Shri JJT University, Jhunjhunu, Rajasthan, India. He has 20 years of IT administration, research, and academic experience and has published over 15 papers in reputed scientific journals and conferences. He also has five patents to his credit and is a member of IEEE, ACM, and other professional societies.
Durgesh Srivastava, Ph D, is an associate professor at Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. He received his Ph D degree in computer science and engineering from IKG Punjab Technical University, Jalandhar, Punjab, India in 2020. He has over 14 years of research and academic experience and has published over 30 papers in reputed scientific journals and conferences. He has published several patents and one book.
Korhan Cengiz, Ph D, is an associate professor in the department of Computer Engineering, Istinye University, Istanbul, Turkey. He earned his Ph D in electronics engineering from Kadir Has University, Turkey in 2016. He has published more than 40 articles in scientific journals, holds five international patents, has published more than ten book chapters, and one book. He has edited over 20 books and is the Associate Editor of IEEE Transactions on Intelligent Transportation Systems, IEEE Potentials Magazine, and holds editor positions with other reputed scientific publishers. He has presented more than 40 keynote talks at reputed conferences, and he has earned numerous awards for his research.
Pramod Gaur, Ph D, is an assistant professor of computer science in the Department of Computer Science, BITS Pilani Dubai Campus, Dubai, UAE. He received his Ph D from Ulster University, U.K., in 2018. Previously, he also worked as Assistant Professor at the LNMIIT, Jaipur, and a Postdoctoral RA in Neuro-Imaging Technology with the Intelligent Systems Research Centre, Ulster University. His research interests include brain-computer interface, the analysis of non-stationary signals, and machine learning.
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