3D Printing and Digital Twins in Smart Agriculture

P. William (Sanjivani University, India), Sharmila A. (Raj Kumar Goel Institute of Technology, India), and A. K. Haghi (University of Coimbra, Portugal)

Indexed In: SCOPUS

Download Free Book Preview

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9798337370774

ISBN13 Softcover: 9798337370781

EISBN13: 9798337370798

DOI: 10.4018/979-8-3373-7077-4

Description:

The integration of 3D printing and digital twins into smart agriculture transforms traditional farming practices by enhancing precision, efficiency, and sustainability. As the agricultural sector faces challenges like climate change, resource limitations, and food shortages, these advanced technologies offer innovative solutions. 3D printing enables the rapid production of farming tools and equipment, while digital twins allow real-time monitoring, simulation, and optimization of agricultural processes. They provide farmers with data-driven insights and tools to improve productivity and reduce waste. Further exploration of the role of 3D printing and digital twins may revolutionize smart agriculture and shape the future of food production.

3D Printing and Digital Twins in Smart Agriculture explores how 3D printing and digital twin technologies are applied to improve efficiency, precision, and sustainability in smart agriculture. It examines their potential to transform farming practices through real-time data analysis, customized tools, and predictive modeling. This book covers topics such as sensor technology, sustainability, and data science, and is a useful resource for engineers, agriculturalists, policymakers, academicians, researchers, and scientists.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

3D Printing
Agriculture Science and Technology
Data Science
Digital Twins
Extended Reality
Metaverse
Policy and Reform
Precision Agriculture
Sensor Technology
Smart Farming
Smart Technologies
Sustainability

Search this Book:

Reset

Indexing

Dr. P. William is working as Director (Research) at Sanjivani University, Kopargaon, India. He is the Post Doctoral Fellow from Amity University Dubai, UAE and Adjunct faculty of Victorian Institute of Technology, Australia. He is recognized in World Top 2% Scientist list by Stanford University and Elsevier. He is a member of IEEE, QCFI, ISTE and various other professional bodies. His research includes innovation and development of cutting-edge solutions in the fields of natural language processing, artificial intelligence, deep learning, machine learning, soft computing, cybersecurity, and cloud computing. He has published 225+ papers in Scopus indexed journals and Conferences. He has 30+ patents published with grants in his credit. He has authored and edited 20+ books with renowned publishers of global recognition. He has been associated with numerous Multi-National Companies and various Educational Groups for his expertise in research, corporate training and consulting where he has contributed to the advancement of knowledge and practice in his domain. A focused professional with experience of consulting in Research, Innovation and Development. He served as a Chairperson and Auditor in multiple committees of national recognition. Delivered Keynote speeches and chaired many sessions in International Conferences. He was appointed as Series Editor, Guest Editor and Reviewer in Scopus/ Web of Science indexed journals.

Dr. Sharmila received B.E. degree in Electronics and Communication Engineering from the Annamalai University, the M.E degree in Computer and Communication engineering from Anna University, Tamil Nadu, and the Ph.D. degree in Electronics & Communication Engineering from Pondicherry University. She is an eminent academician having more than 14 years of teaching experience. Currently she is working with Raj Kumar Goel Institute of Technology, Ghaziabad as Assistant Professor in Electronics and Communication Engineering Department. She has published widely in International Journals and Conferences, her research findings related to Wireless Sensor Networks, Digital image Processing, Cryptography and Information Security, and Block chain. She has authored/co-authored more than 40 research papers and 5 chapters in six other books, published by IET, Springer and Elsevier. She also contributes as an Editor of Books in CRC publication, & Bentham Science.

Dr. A. K. Haghi , PhD is a Professor Emeritus of Engineering Sciences and has published 250+ academic research-oriented books and 1000+ research papers in various journals and conference proceedings. His leadership in academic publishing includes founding and serving as Editor-in-Chief of prestigious journals. Professor Haghi’s extensive educational background and supervisory roles underscore his expertise and contributions to the field of engineering sciences. He is currently appointed as Honorary Research Associate (HRA) at University of Coimbra, Portugal.

All IGI Global Scientific Publishing content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global Scientific Publishing published content is available in the IGI Global Scientific Publishing InfoSci® platform.

We are committed to continually improving our platform to meet WCAG standards. We have used automated scans as well as manual review to identify and resolve compatibility issues. Our goal is to ensure all of our content is easily accessible to all users.

Current Accessibility Implementations
Screen reader compatible web pages with properly labeled elements.
Text alternatives for non-text content so it can be changed into large print, braille, speech, symbols, or simpler language.
User interface can be navigated using only a keyboard - no keyboard traps.
Consistent navigation on all web pages.
Meaningful section heading are used to organize content in a logical manner.
Logical focus order of elements on each web page.
No web pages contain any flashing, or design elements that are known to cause seizures or physical reactions.
Text has high contrast, with a contrast ratio of at least 4.5:1.
Responsive design, with text that can be resized without loss of content or functionality.

Learn More

Related Books