This new book, Demystifying Sustainable Farming Using Smart Technologies, helps to bridge the gap between traditional agricultural practices and the technological innovations that are revolutionizing the field, focusing on the transformative potential of artificial intelligence (AI) and machine learning (ML) in agriculture.
Covering myriad topics that encompass the essence of smart agriculture, the book highlights the concept of Agriculture 5.0, covering its scope and challenges. It looks at sustainable agriculture from various angles, proposing technological means for increasing efficiency with regard to supply chain, pest control, farming techniques, climate change, irrigation, and more. From precision farming and predictive analytics to automated machinery and IoT-enabled devices, each chapter unveils the practical applications of technology in agriculture. These innovations are not only making farming more efficient but are also paving the way for more resilient and adaptable agricultural systems.
Technologies covered in the book include agricultural drones and robotics, the Internet of Things, blockchain technology, image processing-based applications, smart monitoring devices, augmented and virtual reality applications, data-driven mobile apps, and more.
By harnessing the power of these technologies, we can optimize crop yields, enhance resource efficiency, and make informed decisions that promote sustainability. This volume highlights the integration of AI and ML into farming practices to address some of the most pressing challenges in agriculture today.
Arvustused
Timely and crucial contribution, offering a comprehensive exploration of how technologies can revolutionize the way we grow our food. . . . From precision farming and predictive analytics to automated machinery and IoT-enabled devices, each chapter unveils the practical applications of technology in agriculture. . . . A beacon of hope and a call to action for researchers, practitioners, policymakers, and anyone invested in the future of agriculture. It underscores the critical role of interdisciplinary collaboration and continuous innovation in ensuring that our agricultural practices can sustain and nourish future generations.
From the Foreword by Dr. Sanjay Jasola, Vice Chancellor, Graphic Era Hill University, Dehradun, UK, India
Preface
1. Introduction to Agriculture 5.0
2. Agriculture 5.0: Future
and Challenges
3. The Rise of Agri-Drones: Transforming Food Supply Chains
Through Robotics and Smart Devices in Agriculture
4. Smart Agriculture (IoT)
Contribution to Environmental, Social, and Economic Sustainability
5. Smart
Irrigation: Farming Instilling Blockchain and Internet of Agricultural Things
(IoAT): Focusing Groundwater Scarcity, Ensuring Futuristic Sustainable
Farming
6. Image Processing-Based Applications for E-Pest Control Systems
7.
Drone-Based Food Supply Chain: Applications and Challenges
8. Development of
Prediction Equations for Estimating the Biomass of Standing Trees
9.
Data-Driven Approaches for Sustainable Farming: Decision Support System
10.
Smart and Secure Monitoring Devices for E-Agriculture
11. Mathematical
Algorithms in the Convergence of AI and IoT in Agriculture
12. Precision
Farming Technologies: Transforming Agriculture for a Sustainable Future
13.
Internet of Climate Change Things (IoCCT) for Sustainable Agricultural
Production
14. Technologies for Precision Farming
15. Augmented and Virtual
Realities and Data-Driven Mobile Apps as a Panacea for Sustainable
Agriculture
16. Cyber Biosecurity in Food and Agriculture
17. AI-Based
Approaches for Smart Agriculture
18. Blockchain for Smart Farming and
Agriculture
19. Cultivating a Greener Future: Agriculture 5.0 and the Dawn of
Sustainable Farming
20. Future and Challenges in Agriculture
21. Advances in
Precision Disease Identification: Cutting-Edge Diagnostic Tools and
Techniques Index
Gunjan Chhabra, PhD, is an Associate Professor at the School of Science and Technology at Swami Rama Himalayan University, India. He has published research articles, authored books, and served as editor, reviewer, editorial board member, and guest editor for prestigious journals and conferences. A passionate innovator, Dr. Chhabra has been granted eight patents, including for recent innovations focused on emotionbiofield analysis and IoT-based healthcare applications.
Keshav Kaushik, PhD, is an Associate Professor at the Center for Cyber Security and Cryptology at Sharda University, India. He is recognized among the world's top 2% scientists by Stanford University and Elsevier in 2024, with his portfolio including research papers, authored books, book chapters, and several granted and published patents. Dr. Kaushik is a Certified Ethical Hacker, Lead Auditor, IBM Cybersecurity Analyst, Bentham Ambassador, and speaker.
Priya Chugh, PhD, is an Assistant Professor of Agriculture and Technology at Maya Devi University, India. Her academic contributions include research papers and book chapters. Dr. Chugh has participated in national and international conferences, sharing her expertise with the global academic community. Beyond research, she plays a pivotal role in curriculum design, organizational setup, and student mentoring.
Susheela Dahiya, PhD, is a Professor of Computer Science and Engineering at Graphic Era Hill University, India. With over 11 years of experience in academia, research, and industry, she is involved in curriculum development, student mentoring, and accreditation-related processes. Her research interests include image and video processing, the Internet of Things, cybersecurity, cloud computing, and deep learning-enabled computational techniques. She has published conference papers and edited scholarly books.
Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. Formerly the Research Head at Nijji HealthCare Pvt Ltd, he has an extensive body of work that includes academic papers on public health and digital health. Recognized for his exceptional contributions, he has received accolades such as the Most Inspiring Young Leader in Healthtech Space 2022 by Business Connect.
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