258 Int. J. Cloud Computing, Vol. 8, No. 3, 2019 Copyright © 2019 Inderscience Enterprises Ltd. Analysis of methane (CH 4 ) and nitrous oxide (N 2 O) emission from paddy rice using IoT and fuzzy logic Shriya A. Jadhav and Anisha M. Lal* School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, Tamil Nadu, India Email: shriya.jadhav2017@vitstudent.ac.in Email: anishamlal@vit.ac.in *Corresponding author Abstract: The paper focuses on the analysis of methane (CH 4 ) and nitrous oxide (N 2 O) emission from paddy rice using IoT and fuzzy logic. The study of rice paddy fields brings out the fact that they are the substantial sources of greenhouse gases such as methane (CH 4 ) and nitrous oxide (N 2 O). Internet of thing provides an integrated solution for data acquisition, monitoring and measuring methane (CH 4 ) and nitrous oxide (N 2 O) concentration in air. The combination of IoT and fuzzy logic can be used in the development of intelligent system for pattern recognition, event prediction and decision making. Sensors deployed will provide real time data which will be pushed on centralized server where analysis is done for decision making using fuzzy logic. The researcher proposes a model which takes benefit of these technologies to monitor and analyze emission level of methane (CH 4 ) and nitrous oxide (N 2 O) from the rice paddy fields. Keywords: sensor; methane ; CH 4 ; nitrous oxide; N 2 O; internet of things; IoT; fuzzy. Reference to this paper should be made as follows: Jadhav, S.A. and Lal, A.M. (2019) ‘Analysis of methane (CH 4 ) and nitrous oxide (N 2 O) emission from paddy rice using IoT and fuzzy logic’, Int. J. Cloud Computing, Vol. 8, No. 3, pp.258–265. Biographical notes: Shriya A. Jadhav is a Research Scholar in the School of Computer Science and Engineering at VIT University, Vellore, India. She received her BE in Information Technology and ME in Computer Engineering from Savitribai Phule Pune University in 2011 and 2013, respectively. She has teaching experience of about five years. Her research interests include (IoT), and network security. Anisha M. Lal is an Associate Professor in the School of Computer Science and Engineering at VIT University, Vellore, India. She received her BE and ME in Computer Science and Engineering from Anna University in 2003 and 2005, respectively. She has been awarded her Doctorate in Computer Science and Engineering at VIT University in 2016. She has teaching and research experience of about 11 years. She has published more than 14 papers in international journals and presented around three papers in national and international conferences. Her research interests include image processing, remote sensing, biomedical and soft computing. She has served as a reviewer in many academic conferences and journals in the related areas.