The book presents various research papers by Academicians, Lawyers, Policy Makers etc. from around the world focusing and highlighting the synergy between Fire Ecology and Artificial Intelligence. The book provides an overview of AI driven analysis in fostering Wild Fire Management Sustainability. The book further explores the Fire Ecology policy framework envisaging the utilization of all sectors of Wildlife and Forest domain with an aim to achieve sustainable development. With the advent of modern sophisticated technologies like Machine Learning, Deep Learning, and Internet of Things (IoT), the book delves into the role of UAV-IoT’s and modern sophisticated Censors in enhancing the efficiency and mitigating the risk of Wild Fire. The book also deals with specific issues of environment sustainability with regards protection of wildlife and forest ecosystem through the integration of advanced technologies. The chapters of the book delve in to the discovery of new dimensions and futuristic approach with detection of fire breakout through Recurrent LSTM Neural Network (RLSTM-NN).

About The Book

This book elucidates and explores the interface of Fire Ecology with AI, Machine Learning & IoTs, as it has emerged as a pivotal domain with transformative potential. The destruction of millions of acres of forest land through Wild Fire is a global cause of concern and Artificial Intelligence being transformative in nature has the potential to transcend and significantly mitigating risk factor of wild fire. This book focuses on the ability of IoT to foresee the onset of forest fires with the modern censors and UAV-IoTs is of paramount importance to reduce such disaster. To provide effective and efficient forest fire forecast, Internet of Things (IoT) is utilized for data analytics and Artificial Intelligence for the prediction process. The ECO-Guard, an AI integrated AI Sensor System is an intelligent device which utilizes YOLO model and various Machine Learning sensors in forest monitoring and assisting in achieving Sustainable Development Goal 12 (SDG12). Within its Chapters the Academicians, Leading scholars and practitioners contemplates to explore the transformative potential of Machine Learning and IoT in mitigating the impact of Forest Fire.

Significance

The book would assist Environment related industries in understanding the paraphernalia and dynamics of Fire Ecology ecosystem and would be beneficial in identifying the areas which are at risk and suggest appropriate measures. The aim to provide in-depth examination of the use of Artificial Intelligence and Internet of Things (IoT) algorithms in mitigating the risk of forest fire through data analytics and accurate predictions. It further explores the utilization of novel models and techniques such as ECO-Guard, Recurrent LSTM Neural Network (RLSTM-NN), UAV-IoT applications to conserve Fire Ecology. This books empowers the academicians, policymakers and practitioners to harness the full potential of modern technological advancement in mitigating the risk of Forest fire by accurate predictions.

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Editor/Author Biographies

Christian Kaunert is Professor of International Security at Dublin City University, Ireland. He is also Professor of Policing and Security, as well as Director of the International Centre for Policing and Security at the University of South Wales. In addition, he is Jean Monnet Chair, Director of the Jean Monnet Centre of Excellence and Director of the Jean Monnet Network on EU Counter-Terrorism ( ).

Rishabha Malviya completed B. Pharmacy from Uttar Pradesh Technical University and M. Pharmacy (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His PhD (Pharmacy) work was in the area of Novel formulation development techniques. He has 12 years of research experience and presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University since past 8 years. His area of interest includes formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery and characterization of natural polymers as pharmaceutical excipients. He has authored more than 150 research/review papers for national/international journals of repute. He has 58 patents (19 grants, 38 published, 1 filed) and publications in reputed National and International journals with more than 200 cumulative impact factor. He has also received an Outstanding Reviewer award from Elsevier. He has authored/edited/editing 52 books (Wiley, CRC Press/Taylor and Francis, IOP publishing. River Publisher Denmark, Springer Nature, Apple Academic Press/Taylor and Francis, Walter de Gruyter, and OMICS publication) and authored 60 book chapters. His name has included in word’s top 2% scientist list for the year 2020 and 2021 by Elsevier BV and Stanford University. He is Reviewer/Editor/Editorial board member of more than 50 national and international journals of repute. He has invited as author for “Atlas of Science” and pharma magazine dealing with industry (B2B) “Ingredient south Asia Magazines”.

|Bhupinder Singh - Contributing Author|Full Professor of Law

Sahil Lal is a Research Scholar at School of Law, Sharda University. He pursued his graduation from National Law University, Lucknow and completed his Master's in Law from Gujarat National Law University, Gandhinagar. Sahil has completed a certificate course on ‘AI & Law’ from Lund University, Sweden and on ‘Cyber Law’ from Indian Law Institute, New Delhi. Sahil Lal is a qualified UGC-NET & JRF candidate. He has a 10+ year Industry Experience and is an active member of Family Dispute Resolution Clinic, Mediation Center, Greater Noida. Sahil has attended 20+ International & National Conferences along with Paper Presentation and has also participated in more than 5+ Faculty Development Programme. Mr. Sahil has more than 10+ publications in various esteemed Journals & Books. Mr. Sahil has a keen interest in area of Artificial Intelligence, Machine Learning, Robotics, Block-Chain Technology and Intellectual Property Rights.

Manmeet Kaur Arora is a Research Scholar at School of Law, Sharda University, Greater Noida. She is graduate in Law and has completed her Master’s in Law from Amity University, Noida. Manmeet Kaur is a qualified Company Secretary Executive Programme. She has over 8+ year Industry Experience along with 1 year experience as an Associate at reputed IPR Law Firm. Manmeet Kaur has attended 20+ National & International Conferences, Webinars, Seminars and Symposiums along with Paper Presentations and participated in 5+ Faculty Development Programme. She has over 10+ publications in various esteemed Journals and Books. She is an active member at Family Dispute Resolution Clinic, Meditation Centre, Greater Noida. Manmeet Kaur has a keen Interest in area of Corporate Law, Intellectual Property Rights, Insolvency, Artificial Intelligence, Machine Learning, Block – chain Technology.

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