Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller
Issued Date
2022-01-01
Resource Type
ISSN
19386737
eISSN
19385862
Scopus ID
2-s2.0-85130554291
Journal Title
ECS Transactions
Volume
107
Issue
1
Start Page
15099
End Page
15109
Rights Holder(s)
SCOPUS
Bibliographic Citation
ECS Transactions Vol.107 No.1 (2022) , 15099-15109
Suggested Citation
Bhadola P., Kunakhonnuruk B., Kongbangkerd A., Gupta Y.M. Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller. ECS Transactions Vol.107 No.1 (2022) , 15099-15109. 15109. doi:10.1149/10701.15099ecst Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/84641
Title
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Understanding the ecological and species diversity of natural places also requires the data of natural environmental factors but due to environmental and geographical conditions, monitoring the micro-environment can be difficult. In this context, we propose, a portable and cost-effective weather station based on the micro-controller Raspberry Pi Pico mounted with a digital temperature and humidity DHT11 sensor and a portable battery for monitoring and studying the effect of micro-climates on the forest, plant nursery, and farmland. The developed prototype is tested by collecting the temperature and humidity data in the control and random environment. A seasonal decomposition using moving averages on time series is done determining the trend, seasonal, and noise components. We perform the multi-fractal detrended fluctuation analysis on the collected data and estimated the Hurst exponent to check for the trends and patterns and their variation for different environments.