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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Conference or Workshop Item |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/73940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Mahidol University |
| Summary: | 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. |
|---|