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If inmojo checkout fails, purchase from my blog (scroll down):

https://liudr.wordpress.com/gadget/sdi-12-usb-adapter/



PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bone Black compatible data logger
SDI-12 USB adapter, SDI-12 USB + GPS adapter, and SDI-12 USB + Analog adapter

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 $35 Raspberry PI is more than sufficient to log data.

All SDI-12 USB Adapters

Connects SDI-12 sensors to PC/Mac/Linux/RPI/BBB over USB

4 SDI-12 screw terminal block connections for convenience

Ext. or 5V power selector

External power connection

Fuse protected

Additional features: SDI-12 + GPS

GPS coordinates, date, time, speed (GPS module sold at adafruit.com item 746)

Additional features: SDI-12 + Analog

4-analog auto-scaling single-ended channels up to 20uV precision

2-analog auto-scaling differential channels up to 20uV precision

Precision 1K or 10K pull-up resistors for resistive sensors

Sensors tested
In theory, all SDI-12 sensors should work with my adapter. I have so far tested these sensors to work:

Acclima:
TDR-310H, 310S, TDR-315, TDR-315L

Apogee:
SI-411, SI-411-SS
Aquacheck:CKC 6 sensor probe

Campbell Scientific:
CS215, CS650, CS655

Decagon:
5TE, 5TM, DS-2, ECRN-50, ECRN-100, GS3, MPS-6, NDVI SRS, PRI SRS VP-3, VP-4,

Ecotech (Stevens Water):
Tensiomark soil matric potential
pF probe soil matric potential

EnviroPro:
EP100G series soil sensors

FTS inc.
DigiTemp Water sensor

Gill Instruments: WindSonic Ultrasonic Wind Sensor

Greenshield: Capacitive Soil probe

Hongyuv: HY-WDC6SE Mini Weather Station

HSTI: HydraSCOUT multi-sensor soil probe

METER group (formally Decagon):
Atmos14, Atmos 22, Atmos 41, ECH2O 5TE, ECH2O 5TM, ECRN-50, ECRN-100, GS3, NDVI, PRI, TEROS 12, TEROS 21 (MPS-6)

Ponsel: Digital turbidity sensor

Sentek: TriSCAN probe

Sutron: Accubar Barometric Pressure Sensor, Model 5600-0120-3

Unidata: Starflow QSD Ultrasonic Doppler Velocity And Depth sensor

Analog sensors (SDI-12 + Analog):
Apogee SP-110 Self-Powered Pyranometer, PT1000



Data Logging (WIN 7/10/Mac/Linux/RPI/BBB)
Manual and data logging scripts from my blog (scroll to bottom):

https://liudr.wordpress.com/gadget/sdi-12-usb-adapter/

You can sit back and watch the PC/RPI/BBB data collection Python script collect data automatically

Sensor address

Total data points

Delay between data points

GMT or Local time zone

Just run the data logger script in Python. Your data will be stored where this script is so if you store the script in a cloud drive, you will be able to view your data remotely.

File Format
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.

2015/10/31 18:30:59, 1, +1.04, +25.0
2015/10/31 18:31:27, 1, +1.04, +24.9



Telemetry
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.