Digital Technologies and Tools for Smart Agriculture. Dieser Artikel ist nicht verfügbar.Digital Technologies and Tools for Smart Agriculture

To meet the food requirements of the growing population worldwide, the agricultural domain is being technologically empowered to produce more with fewer resources and investments. Fortunately, the faster maturity and stability of digital (digitization and digitalization) technologies and tools have laid a stimulating and sparking foundation for large-scale production of food items with minimal time, talent, and treasure. The penetration and pervasiveness of the Internet of Things (IoT) sensors and actuators are considered the first and foremost aspect of advanced and adaptive agriculture. Further, the device ecosystem for automated and accelerated agriculture processes and practices grows consistently. The robots and drone space advancements are fascinating, as they are set to transform the industry. Connected robots, drones, and other agriculture equipment, appliances, instruments, and machinery are flourishing towards intelligent agriculture. Agriculture sensors and devices generate a lot of real-time and real-world digital data. With the help of artificial intelligence (AI) methods, all agriculture data are subjected to various deep and decisive investigations to extract actionable insights in time. Other noteworthy improvisations include the widespread deployment of 5G communication networks, the growing power of edge analytics and intelligence, the distinct contributions of blockchain technology, the adoption and adaptation of cloud-native computing principles, the phenomenon of digital twins, etc., in the digital space. All these developments have led to the realization of smart agriculture products, solutions, and services.

Features:

• Delineate the role and responsibilities of digital technologies towards smart agriculture
• Delve into the potential of IoT and AI, along with other critical technological advancement
• Demystify large language models (LLMs) and visual language models (VLMs)
• Dig deep and delve into the advancements in the robots and drone space
• Describe how digital innovations can significantly elevate agriculture processes, platforms, patterns, and practices

This book will delve into the transformative power of digital technologies in agriculture, particularly in the context of smart agriculture. It will highlight how these technologies and innovative digital devices are reshaping the agricultural landscape. The book will also showcase the disruptive potential of these technologies, illustrating how they are revolutionizing traditional farming practices and processes.

Dr. R. Madhumathi completed her Ph.D from Anna University, Chennai in November 2016. She has around 22 years of Teaching Experience including 12 years of research experience. Her area of interest includes Cloud Computing, Artificial Intelligence, Internet of Things and Quantum Computing. She has published many papers in SCI International Journals and IEEE, Springer conferences. She has received research grant from Department of Science and Technology, Science and Engineering Research Board (DST - SERB) under Teachers Associateship for Research Excellence (TARE) scheme. Recently she has received visiting scientists fellowship from Indian National Science and Academy (INSA) to work in IIT-Madras. She has also received grants from Indian Council for Medical Research (ICMR), Science and Engineering Research Board and Council of Scientific and Industrial Research (CSIR) to conduct various workshops and seminars. She has chaired sessions for many National and International Conferences. She is a life member in CSI, ISTE, ISAE and member in IEEE Women in Engineering.

Dr. M. Karthigha, is presently working as an Assistant Professor, Department of Computing Science and Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India. She completed her PhD degree in the area of Network Security and Deep Learning. She has 12 years of experience which includes both teaching and research. She has been guiding undergraduate and post graduate in all the recent areas of Computing Security. She has published more than 20 research papers in national and international journals, international conferences and book chapters. She has delivered technical talks in the areas of cyber security, AR/VR. Her research areas include Cyber Security, Deep Learning, Virtual Reality and Augmented Reality.

Dr. Pethuru Raj Chelliah – Working as a chief architect at Edge AI Division, Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously, worked in IBM global Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). In total, I have gained more than 22 years of IT industry experience and 8 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. Thereafter, I was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. I am a professional member in ACM. Focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model engineering and optimization, Big, fast and streaming Analytics, Blockchain, Digital Twins, Cloud-native computing, Edge and Serverless computing, Reliability engineering, Microservices architecture (MSA), Event-driven architecture (EDA), 5G, etc.

Dr. Kai Sheng received the B.E. degree in information engineering from the Central South University, Changsha, China, in 2000 and Ph.D. degree in risk engineering from the University of Tsukuba, Tsukuba, Japan, in 2006. He is currently a Professor of the Guangzhou Institute of Technology and the Academy of Advanced Interdisciplinary Research, Xidian University, China. His research interests include computational intelligence, remote sensing image understanding and AI technologies application to the V2X-based automated driving that from the collaborating environment sensing, communication algorithms, motion planning to the system security and safety.