This chapter discusses how IoT and remote sensing are revolutionalising precision agriculture through the provision of real-time information to inform the management of crops and other resources. Specifically, this chapter explores the main technologies with focus on how they have been adopted...

Wireless sensor networks are critical for applications like industrial automation, smart cities, healthcare, and environmental monitoring. However, challenges arise with energy consumption, latency, and bandwidth due to the large data generated. Integrating Edge Computing and AI offers a...

The convergence of smart mobility, IoT, and connected ecosystems is transforming industries through seamless connectivity, real-time analytics, and data-driven decisions. This article examines their applications in healthcare, urban planning, industrial automation, and agriculture. Smart systems...

This chapter proposes a new concept of Designing an automatic flow controller that is based on AI and using selected machine learning algorithms. The optimum smart controller uses machine learning concept by learning the knowledge often convectional flow controller. The acquired data set is used...

Quality data delivery and communication in an ultra-latent and real-time manner are some its stringent requirements for Internet of Things (IoT). In IoT, raw data is sensed from real-world and transformed into a usable form. Collection of this raw data from multiple sensors as compared to a...

Electromyography sensors (EMG) are techniques used to get the electrical signals generated by muscle activation, providing valuable insights into muscle activity and its relation to the nervous system. This chapter addresses the challenge of achieving accurate, real-time classification of hand...

Wireless sensor networks has the potential to completely change a number of industries, including smart cities, healthcare, industrial automation, and environmental monitoring. WSNs use wireless communication between spatially dispersed autonomous sensors to track environmental or physical...

Wireless sensor networks (WSNs) are widely accepted technology for developing smart control systems in smart environments. These networks support real-time sensing, getting information, and making decision through incorporation of intelligent sensing, communication, and computation technologies....

Intelligent Control Systems (ICS) are transforming industrial automation and robotics by enhancing precision, efficiency, and adaptability. By leveraging machine learning, adaptive control, and real-time sensor feedback, ICS optimizes tasks like assembly, welding, and quality inspection. These...

AI is now an everyday aspect of many people's daily lives worldwide. Businesses have more potential to use AI to optimise some risky or repetitive processes that were previously handled by humans, but people are often afraid of AI due to concerns about privacy and lost job opportunities....