| layout |
|---|
bootstrap |
Several sets of data were collected with OpenAg devices and published on GitHub.
The Basil Flavor data contained in flavor-data was collected for the Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling paper. The goal of the paper was to show that applying machine learning to controlled environment growing could increase production of compounds in a plant. In this case optimizing the environment to produce more flavor compounds in basil.
The repository contains the measurements of volatile molecules as collected, measured, and identified by headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS, or GC-MS for short).
From May 2019 through January 2020, 3 different PFC machines were set up in the Cooper-Hewitt Museum. While network connectivity was an issue for two of the machines (due to conditions at the museum), at least one of the PFC-EDU machines reported back data for nearly the entire time in the museum. The Cooper_Hewitt_PFC_Data repository contains all the data collected with some visualizations of the data from that one machine. While in the museum, the PFC was growing basil, while running a single light recipe. At times the plants were replaced as they grew to large/old, and the machine was cleaned a few times. (You can see the timing of the cleanings in PH and EC measurements)
While developing software for the PFC-EDUs one team member decided to grow Tiny Tim dwarf tomato plants in three PFC-EDU machines, with different conditions (A control, one with basil in the same machine, and one that had no photo-rest period, but used blue (no-ir) light for the night phase. All the data was recorded for the 3 or so months, along with harvest data. You can find this data in the Tomato_Experiment repository.