There has been a lot of noise about the Internet of Things nowadays. It's immense effect on nearly everything that we do can't be overlooked, it is reshaping the cyberworld by connecting everything to the internet. From industry to smart industry, from hospital to smart hospital, from cities to smart cities are few applications of IoT. The IoT framework is complex and heterogenous that bring a number of challenges such as decentralization, poor interoperability, privacy and security vulnerabilities susceptible to attacks.
The blockchain has emerged as the solution for IoT security due to its numerous advantages such as distributed data storage and immutability. It offers the potential for improving the overall security of the IoT ecosystem. The International Data Corporation predicts that about 20% of all IoT deployments will have some sort of Blockchain services enabled in near future. There is a strong reason to believe that blockchain will lead to the establishment of a new generation of IoT ecosystem.
This special track will provide a forum for researchers and industrialists to share recent research results on the convergence of Blockchain and IoT, ranging from overviews, proof-of-concepts case studies, to applications.
Agriculture plays a critical role in the global economy. Day by day demand & pressure on the agricultural system will increase with the rapid expansion of the human population. Machine learning is everywhere throughout the whole growing and harvesting cycle. It begins with a seed being planted in the soil from the soil preparation, seeds breeding and water feed measurement and it ends when robots pick up the harvest determining the ripeness with the help of computer vision. Agriculture technology and precision farming, now also termed digital agriculture, have arisen as new scientific fields that use data intense approaches to drive agricultural productivity while minimizing its environmental impact. The data generated in modern agricultural operations is provided by a variety of different sensors that enable a better understanding of the operational environment (an interaction of dynamic crop, soil, and weather conditions) and the operation itself (machinery data), leading to more accurate and faster decision making.
Topics of interest include, but are not limited to:
Dr. Mohammad Tabrez Quasim, University of Bisha, Saudi Arabia. Dr. Mohammad Ayoub Khan, University of Bisha, Saudi Arabia.