Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller
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 sta...
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th-mahidol.739402022-08-04T11:01:11Z Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller P. Bhadola B. Kunakhonnuruk A. Kongbangkerd Y. M. Gupta Naresuan University Mahidol University Engineering 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. 2022-08-04T04:01:11Z 2022-08-04T04:01:11Z 2022-01-01 Conference Paper ECS Transactions. Vol.107, No.1 (2022), 15099-15109 10.1149/10701.15099ecst 19385862 19386737 2-s2.0-85130554291 https://repository.li.mahidol.ac.th/handle/123456789/73940 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130554291&origin=inward |
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Engineering P. Bhadola B. Kunakhonnuruk A. Kongbangkerd Y. M. Gupta Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
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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. |
author2 |
Naresuan University |
author_facet |
Naresuan University P. Bhadola B. Kunakhonnuruk A. Kongbangkerd Y. M. Gupta |
format |
Conference or Workshop Item |
author |
P. Bhadola B. Kunakhonnuruk A. Kongbangkerd Y. M. Gupta |
author_sort |
P. Bhadola |
title |
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
title_short |
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
title_full |
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
title_fullStr |
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
title_full_unstemmed |
Analysis of Microenvironment Data using Low-Cost Portable Data Logger Based on a Microcontroller |
title_sort |
analysis of microenvironment data using low-cost portable data logger based on a microcontroller |
publishDate |
2022 |
url |
https://repository.li.mahidol.ac.th/handle/123456789/73940 |
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1763498068250984448 |