Machine Intelligence, Big Data Analytics, and IoT in Image Processing

This edited volume explores how machine intelligence, big data analytics and the Internet of Things can be turned into working systems. It addresses both the theory and the hands-on practice, with applications ranging from drone-based surveillance to smart transport, medical care, farm management and robots that automate tasks.

The chapters cover real-time disease detection, crop yield forecasting, smart parking systems, and the part these tools play in smart healthcare, plant pathology, and the planning, design and development of smart cities and villages. Rather than staying within one discipline, the book gathers research and practical insights from scholars, academics and practitioners around the world. The technologies it draws on include artificial intelligence, machine learning, IoT, image processing, network security, cloud computing and sensors, all aimed at everyday difficulties people face.

Because each chapter focuses on a specific area of application, the range of fields is intentionally broad. The aim is to show how these technologies reach almost every part of modern life, and to help professionals in different sectors recognize and use the opportunities they offer.

The intended readers include AI researchers and scientists who build practical systems using machine learning, big data analytics, natural language processing, pattern recognition and image-based IoT analysis. Software developers, industry specialists and policymakers in medicine, agriculture, smart city development and transportation are also addressed.