Analysis of methane (CH₄) and nitrous oxide (N₂O) emission from paddy rice using IoT and fuzzy logic
by Shriya A. Jadhav; Anisha M. Lal
International Journal of Cloud Computing (IJCC), Vol. 8, No. 3, 2019

Abstract: The paper focuses on the analysis of methane (CH₄) and nitrous oxide (N₂O) 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 (CH₄) and nitrous oxide (N₂O). Internet of thing provides an integrated solution for data acquisition, monitoring and measuring methane (CH₄) and nitrous oxide (N₂O) 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 (CH₄) and nitrous oxide (N₂O) from the rice paddy fields.

Online publication date: Mon, 02-Dec-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Cloud Computing (IJCC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com