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Smart Chemical Sensors

AI and IoT for Global Sustainability

  • 1 Edición - 1 de mayo de 2027
  • Última edición
  • Autor: Samuel Mugo
  • Idioma: Inglés

Smart Chemical Sensors: Integrating AI and IoT for Real-World Applications examines the transformative potential of chemical sensors, highlighting their role in advancing… Leer más

Descripción

Smart Chemical Sensors: Integrating AI and IoT for Real-World Applications examines the transformative potential of chemical sensors, highlighting their role in advancing technologies that enhance global sustainability and improve living standards for communities across both the Global North and South. With a focus on AI-powered chemical sensors and IoT integration, the book empowers its audience with a one-stop resource that highlights the most current research on these technologies and how they can be deployed to tackle global challenges in environmental monitoring, healthcare, industrial safety, and agriculture. From smart water quality monitoring and air pollution control to precision agriculture and personalized affordable healthcare, the book demonstrates how interdisciplinary approaches combining biochemical sensors, IoT, and AI are driving impactful solutions that can democratize societal well-being. It also addresses important ethical, governance, and policy considerations to ensure that these technologies benefit all communities, especially those in the Global South. Featuring detailed case studies in industrial automation, precision agriculture, and digital health, the book supports specialized coursework and interdisciplinary research across sustainable development, AI, and smart technologies, making it a valuable resource at all educational levels. Ultimately, this book serves as a comprehensive guide for students, researchers, industry experts, and policymakers eager to understand and contribute to the global movement toward a more sustainable and equitable future by leveraging AI-powered chemical sensors and data analytics.

Puntos claves

  • Bridges the disciplines of chemistry, engineering, data science, and environmental studies to provide a holistic understanding of smart sensing network systems
  • Demonstrates the potential of chemical sensing, AI, and IoT technologies in sustainably and equitably addressing global challenges across environmental monitoring, healthcare diagnostics, industrial safety, and precision agriculture
  • Provides practical insights and case studies of AI-driven chemical sensors, guiding researchers and professionals in the effective application of these technologies
  • Offers new perspectives on chemical sensors as intelligent, connected, and sustainable tools and empowers readers to develop innovative solutions aligned with some of the world’s most pressing global sustainability challenges
  • Prepares students and early-career researchers for the future of AI-powered sensing technologies

De interès para

Undergraduate and graduate students, academics, scientists, researchers, and engineers working in the fields of chemical sensing, artificial intelligence (AI), and the Internet of Things (IoT)

Índice

1. Foundations of AI-Powered Chemical Sensors and IoTs

2. Chemical Sensors, IoTs, and Data Analytics: AI-Driven Insights

3. AI-Enhanced Chemical Sensors for IoT-Based Smart Water Quality Monitoring

4. Smart Chemical Sensor Networks and IoTs for Climate Action, Air Quality Monitoring in Advancing Sustainable Cities and Communities

5. Portable and Wearable Chemical Sensors for Disease Detection and Diagnostics

6. Smart Chemical Sensors: AI & IoT for Workplace Safety

7. Smart Agriculture: AI- & IoT-Enabled Chemical Sensors for Precision Farming and Food Security

8. AI- & IoT-Enabled Chemical Sensors for Food Safety, Quality Control, and Sustainable Consumption

9. Leveraging Chemical Sensors, IoT, and AI for Sustainable Energy Production and Storage

10. Optimizing Circular Economies: The Role of AI, IoT, and Chemical Sensors in Waste and Resource Management

11. Smart Security: AI, IoT, and Chemical Sensors in Forensic Science and Crime Prevention

12. Advancing STEM Education and Learning With AI-Powered Smart IoTs

13. Ethical and Future Perspectives on AI-Powered Nanotechnology and Chemical Sensors for Sustainable Development

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 1 de mayo de 2027
  • Idioma: Inglés

Sobre el autor

SM

Samuel Mugo

Dr. Samuel M. Mugo has been a Professor of Analytical Chemistry at MacEwan University, Edmonton, Alberta, Canada, since 2008. His research group has more than 15 years of experience developing inexpensive point-of-need and wearable spectroelectrochemical sensors integrated with machine learning systems for mental health diagnostics and precision agri-food chemical tracking. He currently serves as the Associate Dean of Development for the Faculty of Arts and Science at MacEwan University.

Afiliaciones y experiencia
Professor and Associate Dean-Development, Physical Sciences Department, Faculty of Arts and Science, MacEwan University, Edmonton, Alberta, Canada