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PC Win 7/10/Mac/Linux/Raspberry PI/Beagle Bone Black compatible

This product is an extension board for the following product(s) and only works when you have one of these products.

• SDI-12 USB adapter
• SDI-12 Data Logger (will be posted soon!)

See live soil data from sample logger

This extension board with SDI-12 USB adapter can achieve the same goals as the SDI-12 USB + Analog adapter. The combination takes twice the vertical space than the SDI-12 USB + Analog adapter but also allows the addition of other extension boards (such as accelerometers, magnetometers, gyroscopes etc that I can customize for you).

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.

Included features: SDI-12 + Analog

• Hi-resolution (16bit) analog voltage inputs
• 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 (0.1% 20ppm/degC) for resistive sensors
• Take data the same way you take data from any SDI-12 sensor, with the address of "z"
• Free and open-source feature-reach Python data logging script for multiple sensors, sensing commands, and adapters
• Address jumper and pass-through extension board header to allow up to four such devices to be stacked together
• Pass-through extension board header will accept future extension boards of various types
• Four M3 standoffs, washers, screws, and nuts for securing the extension board

Optional features

• 4 SDI-12 screw terminal block connections for convenience

Sensors tested

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

Campbell Scientific:

• CS215 Air Temperature and Rel. Humidity
• CS650 Soil Volumetric Water Content Probe
• CS655 Soil Volumetric Water Content Probe

Decagon:

• DS-2 (Sonic Anemometer)
• VP-3, VP-4 (temp., barometer, humidity)
• PRI SRS and NDVI SRS (spectral reflectance)
• GS3 (Ruggedized Soil Moisture, Temp., and Electrical Conductivity)
• MPS-6 (Calibrated Water Potential Sensor)
• 5TE (VWC, EC, and Temp.)
• 5TM (Soil Moisture and Temp.)

Gill Instruments: WindSonic Ultrasonic Wind Sensor

HSTI: HydraSCOUT multi-sensor soil moisture and temperature probe

METER group (formally Decagon):

• Atmos14
• Atmos 22
• Atmos 41
• PRI
• NDVI
• GS3
• TEROS 21
• ECH2O 5TE
• ECH2O 5TM

Ponsel:Digital turbidity sensor

Sentek:TriSCAN probe

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

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):

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.