So far this semester I have been working on creating spectral standards for the near-mid IR range, using soils of known composition, and the Chemistry department’s FTIR spectrometer. These standards will be used to calibrate the SCIO for field use. The FTIR’s range is significantly farther out in the IR range (smaller wavelengths) than the SCIO. We will compare the SCIO and FTIR spectra by looking for correlated peaks in the respective regions using something like partial least squares regression or support vector machine regression. The SCIO doesn’t make its raw spectral data open, but the SCIOlab software does create a plot of the data. I am going to try to extract the data from the plots using a software called engauge that Kristin has just installed on hopper. Engauge traces the lines in images of plots and outputs the data to csv. It’s all very sneaky.

I am also working on altering the design for the field soil platform flask in OpenSCAD (the field platform will measures temperature and moisture) to be slightly larger and more robust in order to accommodate a BLE shield. It will also need a small cylindrical housing with a cap for the IR temperature sensor.

The organic content transmission laser sensor rig is under construction. I am working with Charlie (and possibly Nic) to prototype it in LEGO. I encourage anyone who likes building things or LEGO to work on this with me, because I am relatively inexperienced with all things LEGO.

I have decided that the BNC sensors for pH and conductivity that I worked on restoring last semester are a lost cause (they are old models, no longer supported or well documented). Charlie is suggesting we reconsider using the lusterleaf with a few small hacks. I am also planning on using pH strips. We can automate the comparison of the measured color to color standards for PH with the RGB platform we will have on hand for measuring the Munsell color profile of the soil.

The Munsell color platform could be part of the same platform as pH and conductivity (science in a box) or could be stand-alone, depending on if we use the Luster Leaf are not. It will basically consist of an RGB color sensor and connected to an Arduino and a python program that converts the RGB values to Munsell values (a linear transformation).

This week Kristin, Charlie, and I met a few times to figure out how to best utilize the Kanbanchi drive app for keeping track of progress on projects. Charlie made sure we had a solid framework of common terms to work with:

project – the level right underneath ‘Iceland 2016’, for example ‘soil sensors’, ‘ambiance’, ‘field day’, ‘bird survey’.

list – the columns in the kanbanchi layout. The different lists within each project are determined at the project level.

cards – the individual items within a list. Broadly speaking, cards are like tasks. They can be assigned to anyone shared on the document. They can contain documents, checklists, and tags. Cards can be given a ‘flag’ that is named by the user. Cards can be given a color. We decided that green will signify tasks we are working on actively, yellow will signify tasks we have not yet started, red will signify tasks that were started but then ran into some sort of trouble (no supplies, something broke etc), and grey tasks we have completed (cards also have a ‘done’ checkbox, for the extra satisfaction factor).

Here is a picture of my kanbanchi layout for the soil sensor platform:

Sensor-wise, I am working on debugging the ph and conductivity probes. I have not been able to get any serial output from them but arduino isn’t given me any errors. My goal this week is to figure that out and to get the soil moisture sensor and photo-resistor hooked up and working with basic sketches.