Embedded Files
Overview
Overview
An Arduino is an open-source electronic platform that consists of a physical programmable circuit board and connected to a physical device with the Arduino IDE downloaded. The Arduino itself works through a basic system of input and outputs where it reads information from the environment when connected to a sensor and translates that information through the device to give visible readings. Arduinos are efficient devices to perform soil analysis as they are inexpensive and can be connected to a wide variety of sensors ranging from moisture, humidity, to detecting CO2 concentration.
We used the following sensors to gather data:
Photoresistor: The photoresistor uses wires connected to voltage divided circuit to measure light. The numbers go from 0 to 1023, with 0 being complete darkness and 1023 being very bright. It was measured in electrical volts.
Sound: The sound sensor uses a microphone that converts sound waves into electric signals, which it uses as the sound level. The numbers can range from 0 to 1023, also meaning it is a 10-bit system. The normal level of sound is 512, and most of our readings sat around there. It is possible to convert the electric value into a unit of sound measurement, like decibels, but we opted to leave the numbers unconverted.
SCD-30: This sensor measures the amount of CO2 in a given space as well as the humidity and temperature. It uses NDIR and Electromechanical sensors to measure infrared light absorption by gas and creates electric currents when gas interacts with an internal electrode, respectively. It measures the CO2 in parts per million, the temperature is measured in celsius, and the humidity is measured in percentage of relative humidity on a scale from 0 to 100.
Graph Analyses
Graph Analyses
The CO2 in ppm at different sites graph shows that Site 1 had the more CO2 than the other three sites by far, meaning site 1 is the outlier of the data set. For the levels of humidity at different sites, site 4 is a clear outlier, with the lowest levels of humidity compared to the other three sites which have considerably higher levels. Temperature at different sites shows that, on average, site 4 has the highest temperatue out of all four of the sites. Sound levels at different sites shows that each of the four sites have a fairly similar sound levels, however, site two has multiple data points representing higher volume than the others. Light levels or Lux at different sites clearly show that the four sites have very similar levels of light, but site three has two data points much higher than all the rest, making them the outliers of the dataset.
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