SDI-12 USB adapter with on-board GPS connects SDI-12 sensors to your PC/MAC/Linux/Raspberry Pi/Beagle Bone/MicroPythonDesigned by Liudr arduino and physics gadgets in United States of America
USB interface compatible with PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bone Black Suitable for long-term deployment (months to years) Live soil data from sample logger has concluded due to ground...Read More…
USB interface compatible with PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bone Black
Suitable for long-term deployment (months to years)
SDI-12 sensors are widely used in environmental monitoring including soil, streams, plants etc. On the other hand, data loggers designed for SDI-12 sensors are usually expensive and proprietary, making it harder to monitor and study soils and streams on a budget. This SDI-12 USB adapter makes it possible to directly interface SDI-12, Analog sensors, and GPS with a PC/Mac/Linux/RPI/BBB, on a budget. I have built numerous SDI-12 sensor data loggers. This is my latest design that is very easy to use. It also comes with free and open-source data logger program (Python script) for all operating systems. A section on SDI-12 sensors will guide you through it. A $5 Raspberry PI Zero is more than sufficient to log data.
SDI-12 USB + GPS Adapters
In theory, all SDI-12 sensors should work with my adapter. I have so far tested these sensors to work:
Apogee: SI-411 (standard field of view infrared radiometer)
Aquacheck:CKC 6 sensor probe
Ecotech (Stevens Water):
HSTI: HydraSCOUT multi-sensor soil moisture and temperature probe
METER group (formally Decagon):
Ponsel:Digital turbidity sensor
Sutron: Accubar Barometric Pressure Sensor, Model 5600-0120-3
Analog sensors (SDI-12 + Analog):
Data Logging (WIN 7/10/Mac/Linux/RPI/BBB)
Manual and data logging scripts from my blog (scroll to bottom):
You can sit back and watch the PC/RPI/BBB data collection Python script collect data automatically
Your data will be stored in comma-separated-value (.CSV) format. The file name is the date and time when the script starts logging data. There are at least three columns.
The first column is the date and time the data point is collected. Depending on your choice, it is either in GMT/UTC or local time. The next column is the sensor address. The third column is the first value returned by your sensor. If your sensor returns more than one value, additional columns will contain additional values.
This file format is ready to be read by any major data analysis tools such as Excel, Open Office Calc, or the more expensive Origin Pro. Here is a sample of data collected from a Decagon 5TM soil temperature and moisture sensor. The first data column is the relative dielectric constant (1 for air, yes, it’s NOT in soil). The second data column is temperature.
Your PC or RPI/BBB must have access to the internet. Your data are sent to a server and stored there ready for retrieval and plotting in a web browser.
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