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Artificial Intelligence for Rural Healthcare Management: Prognosis, Diagnosis and Treatment.-  A Study using Support Vector Machine as a Tool for Patient’s Satisfaction for SARS-CoV-2 Cases Using Telemedicine.- Applications of AI and IoT technology in Protected Cultivation for Enhancing Agricultural Productivity: A Concise Review.- IoT Based Smart Farming Using AI.- Random Forest Algorithm for Plant Disease Prediction.

<p><b>Somnath Mukhopadhyay</b>&nbsp;is currently an Assistant Professor at Department of&nbsp;Computer Science and Engineering, Assam University, Silchar, India. He completed&nbsp;his M. Tech. and Ph.D. degrees in Computer Science and Engineering at the&nbsp;University of Kalyani, India, in 2011 and 2015, respectively. He has co-authored&nbsp;one book and has six edited books to his credit. He has published over 30 papers in&nbsp;various international journals and conference proceedings, as well as five chapters&nbsp;in edited volumes. His research interests include digital image processing, computational&nbsp;intelligence and remote sensing. He is a member of IEEE and IEEE Computational Intelligence Society, Kolkata Section; life member of the Computer Society of&nbsp;India; and currently the regional student coordinator (RSC) of Region II, Computer&nbsp;Society of India.<br></p>

<p><b>Sunita Sarkar</b> received M. Tech and PhD from Tezpur and Assam University respectively. She has fifteen years of teaching and research experience to her credit. She has published over 20 papers in&nbsp;various book chapters, international journals and conference proceedings. Her research interest includes Natural Language Processing and Soft Computing.</p><p><br></p><p><b>Dr. Mandal</b>&nbsp;received his M.Tech. in Computer Science from the University of Calcutta and his Ph.D. from Jadavpur University in the field of Data Compression and Error Correction Techniques. Currently he is a Professor of Computer Science and Engineering and Director of the IQAC at the University of Kalyani, West Bengal, India. He is a former Dean of Engineering, Technology & Management (2008–2012). He has 33 years of teaching and research experience. He has served as a Professor of Computer Applications, Kalyani Govt. Engineering College for two years and as an Associate and Assistant Professor at the University of North Bengal for sixteen years. He has been a Life Member of the Computer Society of Indiasince 1992 and senior member of IEEE. Further, he is a fellow of the IETE and a member of the AIRCC. He has produced 176 publications in various international journals, has edited thirty four volumes as a volume editor for Science Direct, Springer, CSI etc., and has successfully executed five Research Projects funded by the AICTE, Ministry of IT Government of West Bengal. In addition, he is a guest editor of Microsystem Technology Journal.23 scholars awarded Ph. D degree under his supervision and eight are persuing.</p><p><b>Sudipta Roy</b> is currently serving as a Professor in the Department of Computer Science and Engineering, and Dean of Triguna Sen School of Technology, Assam University, Silchar, Assam. He has obtained his ME from Jadavpur University and PhD from Assam University. He was associated with ACE Consultants, Kolkata as a Software Professional and Bengal Institute of Technology, Kolkata, India as a faculty. He is having eighteen years of teaching and two and half yearsof industry experience.&nbsp;His research interests are image processing, artificial intelligence an deep learning. He is presently guiding Ph.D. students, post graduate and graduate students. He has published more than sixty papers in international and national journals and more than fifty conference proceedings. He is fellow of IETE, life member of CSI, senior member of IEEE, member of IE(I), member of INNS, professional member of ACM, life member of ISTE.</p>

The volume presents research works on developing Artificial Intelligence based algorithms and methodologies for making social good that too to a notable one. The book discusses latest findings on efficient technological solutions of e-governance and other areas of life from the leading researchers in the field. The prime focus is on solving socio-economic technical problems using state-of-the-art research findings like fuzzy computing, evolutionary and hybrid frameworks, neuro computing, etc., along with other AI based computation platforms. The topics covered include solution frameworks using Artificial Intelligence based models in application areas like agriculture and rural development, road accident, travel and tourism, solid waste management, rural medical care, crowd sourced election monitoring system, ragging, rape and other abuses, cyber criminals and cyber bullying, disaster management, social good, etc. The book offers a valuable resource for all undergraduate, postgraduate students and researchers interested in exploring solution frameworks for social good problems using artificial intelligence.<p></p><br><p></p>

Presents research works on developing Artificial Intelligence based algorithms and methodologies Discusses latest findings on efficient technological solutions of e-governance Serves as a reference for researchers and practitioners in academia and industry