Analysis of Microenvironment Data Using Low-Cost Portable Data Logger Based on a Microcontroller

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.