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Team 1
Team 1
Pictured above is the bi-directional logic level shifter made by SparkFun
Team 1, composed of Jacob, Ra, Rynn, Sergio, and Stephen, made steady progress toward their goal of developing a soil monitoring system. Jacob successfully powered and queried the EnviroPro soil probe using an Arduino Uno and relay-controlled power. Sergio developed a state machine for the IoT system and began soldering for logic-level prototyping. Ra completed the first version of the hardware housing and communicated with a field agronomist. Rynn started to learn to use Tinkercad and began designing sensor attachments, while Stephen conducted a literature review on water stress prediction and learned SolidWorks for 3D modeling. He also added solar radiation tracking to the dashboard. Challenges included issues interfacing the EnviroPro with the Maduino, steep learning curves with CAD tools, and sifting through extensive documentation.
Team 2
Team 2
Pictured above is an orthomosaic of drone images of a field of cotton at the Texas A&M AgriLife Extension in Nuecess County.
Team 2, consisting of Jenna, Julian, Mohriz, Safiya, and Sergio V., focused on several key tasks this week. Their accomplishments included completing the Lubbock model and making significant progress on the Corpus model. They processed drone data, conducted work in QGIS, uploaded materials to ArcGIS, created a Corpus Master File, accessed GoAnna, and began developing a fastAPI.
The team faced challenges related to using QGIS, converting data and files, preparing Corpus data, and gaining access to GoAnna. Their stated goals included processing orthomosaic files, calculating CC and ExG indices, building the Corpus model, starting work with ArcGIS, and initiating a dashboard.
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