Smart Chemical Sensors
AI and IoT for Global Sustainability
- 1st Edition - May 1, 2027
- Latest edition
- Author: Samuel Mugo
- Language: English
Smart Chemical Sensors: Integrating AI and IoT for Real-World Applications examines the transformative potential of chemical sensors, highlighting their role in advancing… Read more
Description
Description
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.
Key features
Key features
- Integrates chemical sensing, AI, and IoT across environmental, health, agricultural, food, energy, industrial, and security applications
- Presents case studies and practical guidance on calibration, validation, and the requirements for reliable real-world deployment
- Addresses accessibility, responsible innovation, and data governance, with a focus on affordable solutions for the Global South
Readership
Readership
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)
Table of contents
Table of contents
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
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: May 1, 2027
- Language: English
About the author
About the author
Samuel Mugo
Author
Dr. Samuel M. Mugo is Professor of Analytical Chemistry at MacEwan University, Edmonton, Alberta, Canada, where he has worked since 2008, and Associate Dean, Development, of the Faculty of Arts and Science. For more than 18 years, his research group has developed affordable point-of-need, portable, and wearable chemical sensors integrated with AI, IoT, and data analytics for health monitoring, precision agriculture, and agri-food sensing. He is committed to translating research into accessible technologies that benefit communities.
Affiliations and expertise
Professor and Associate Dean, Development, Department of Physical Sciences, Faculty of Arts and Science, MacEwan University, Edmonton, Alberta, Canada