The Kay-Berlin Food Computer @Raspberry_Pi #PiDay #RaspberryPi

“Food Computer” may be a bit misleading as a description for this project. The machine is less like a computing machine made from tasty snacks, and more like a fully-automated plant growth station. Here’s more from Raspberry Pi Blog:

“It is a fully automated growth chamber that can monitor over a dozen atmospheric and root zone variables and post them to an online dashboard for remote viewing,” Chris Regini tells us. He’s supervising both Noahs in this project. “In addition to collecting data, it is capable of adjusting fan speeds based on air temperature and humidity, dosing hydroponic reservoirs with pH adjustment and nutrient solutions via peristaltic pumps, dosing soil with water based on moisture sensor readings, adjusting light spectra and photoperiods, and capturing real-time and time-lapsed footage using a [Raspberry Pi] Camera Module NoIR in both daylight and night-time growth periods.”

See project!


As 2022 starts, let’s take some time to share our goals for CircuitPython in 2022. Just like past years (full summary 2019, 2020, and 2021), we’d like everyone in the CircuitPython community to contribute by posting their thoughts to some public place on the Internet. Here are a few ways to post: a video on YouTub, a post on the CircuitPython forum, a blog post on your site, a series of Tweets, a Gist on GitHub. We want to hear from you. When you post, please add #CircuitPython2022 and email circuitpython2022@adafruit.com to let us know about your post so we can blog it up here.

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