1st Edition

Smart Technologies for Sustainable Development Goals No Poverty

Edited By A.Jose Anand, Saravanan Krishnan Copyright 2025
284 Pages 9 Color & 26 B/W Illustrations
by CRC Press

284 Pages 9 Color & 26 B/W Illustrations
by CRC Press

284 Pages 9 Color & 26 B/W Illustrations
by CRC Press

Sustainable Development Goals or SDGs refer to the UN stipulated road-map for development in 17 defined areas, by 2030. It was built on the previously established Millennium Development Goals (MDG). This first volume (SDG-1) deals with eradicating poverty with the help of modern ICT technologies needed to end poverty and create a better society. This much needed book, which is the first of its... Read more

Preface

1. Introduction to Technological Assistance for Poverty Reduction

Prasann Kumar, Jose Anand A. and Arjun Ram Rajagopal

2. Food Security and Safety to End Poverty

Sri Sakticharan Nirmalkumar, Krishna M and Jose Anand A

3. ICT Alleviates Poverty Focusing on Healthcare, Agriculture and Entrepreneurship

S.N Kumar, Jomin Joy, Jai Ganesh, R Melba Kani, Manju K G and Nicole R

4. Role of ICT in Harnessing Poverty Reduction: An Empirical Study using an ARDL Approach

Magesh Kumar, Ravinder Rena, G. Delina and P. Srinivasan

5. Developing Social Protection Systems to End Poverty in Indonesia

Saddam Rassanjani and Nur Saribulan

6. Smart Media Technology in No Poverty Reduction

Duong Thanh Tung, Do Thi Thao and Nguyen Thi Bich Ngoc

7. Sustainable Livestock Production and Poverty Alleviation

Mónica M. Costa and José A.M. Prates

8. Modern Farming Techniques to Sustainable Livelihoods

Bhavna Nigam, Dheeraj Rathore and Indra Jeet Chaudhary

9. Artificial Intelligence for Hunger Monitoring and Mitigation

Adarsh Kumar Arya, Ashish Kapoor, Toufik Mzili, Devanshi Srivastava and Shreya

10. Machine Learning Methods to Predict and Classify Poverty

Anisha S S, A. Shajin Nargunam and Mohamed Shameem

11. Machine Learning Technologies for Agricultural Prediction to Enhance Economic Growth

S Baulkani, Nifasath Piyar S and Priyanga M.M.

12. Empowering Poverty Prediction with Sustainable AI Techniques

S. Suchitra, K. Arthi, M. Ramprasath, A.V. Kalpana, J. Shobana and Ciro Rodrigeuz

13. Precision Poverty Evaluation: Leveraging Generalized Linear Models and XG Boost Algorithms

Nandha Gopal J, Muthukaruppasamy S, Arun Sampaul Thomas, Arul Doss Adaikalam I and Jose Anand A

14. Transforming Data into Action: Leveraging Big Data Analytics to End Poverty

G. Arun Sampaul Thomas, S. Muthukaruppasamy, J. Nandha Gopal, K. Saravanan and Jose Anand A.

15. Eradication of Poverty using Smart Governance: Case Study of European Union Cities

Katarzyna Cichos

Index

Biography

A. Jose Anand is a Professor at the Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India. He has presented several papers in prominent conferences, has published several papers in reputed journals, and published books in professional & engineering subjects. He is a member of the Institution of Engineers, Computer Society of India, Institution of Engineering and Technology, Indian Society for Technical Education, etc. His current research interests include Wireless Sensor Networks, Embedded Systems, IoT, Machine Learning and Image Processing, etc.

Saravanan Krishnan is an Associate Professor, Department of Computer Science & Engineering in College of Engineering, Guindy, Anna University, Chennai, India. He is also Deputy Director for Centre for University-Industry Collaboration (CUIC), Anna University, Chennai. He has a master's in Software Engineering and PhD in Computer Science and Engineering. His research interests include Cloud Computing, Blockchain, Software Engineering, IoT, and Smart cities. He published several papers conferences, book chapters reputed journals. He has edited 15 books with major publishers. He is a Fellow of the Institution of Engineers and senior member of the Association of Computing Machinery, Indian Society for Technical Education, etc.