Automate Your Desk With The Upsy Desky

It might be surprising for some, but humans actually evolved to be long-distance runners. We aren’t very fast comparatively, but no other animal can run for as long or as far as a human can. Sitting at a desk, on the other hand, is definitely not something that we’re adapted to do, so it’s important to take some measures to avoid many of the problems that arise for those that sit at a desk or computer most of the day. This build takes it to the extreme, not only implementing a standing desk but also a ton of automation for that desk as well.

This project is an improvement on a prior build by [TJ Horner] called the WiFi Standing Desk Controller. This new version has a catchier name, and uses an ESP32 to run the show. The enclosure is 3D printed and the control board includes USB-C and a hardware UART to interface with the controller. The real perks of this device are the automation, though. The desk can automatically lift if the user has been sitting too long, and could also automatically lift if it detects no one is home (to help keep a cat off of the desk, for example). It also includes presets for different users, and can export data to other software to help analyze sitting and standing patterns.

The controller design is open source and could be adapted to work on a wide-array of powered desks. As we’ve seen in the past, with the addition of a motor, even hand-crank standing desks can be upgraded. If you haven’t gotten into the standing desk trend yet, we hope that you are at least occasionally going for a run.

2022 Hackaday Prize: Plant Monitoring System Grows To Include LoRa

Change on industrial scales is slow, but if you’re operating your own small farm or simply working in a home garden there are some excellent ways to use water more effectively. The latest tool from [YJ] makes it possible to use much less water while still keeping plant yields high.

This is an improvement on a previous project which automates watering and lighting of a small area or single pot. This latest creation, called FLORA, includes a LoRa module for communication up to 3 kilometers, and the ESP32 on board also handles monitoring of soil moisture, humidity and other sensors. It also includes a pump driver for managing irrigation systems so that smart decisions can be made about when to water. Using this device, the water usage when testing was reduced by around 30% compared to a typical timed irrigation system.

Using a smart system like this is effective for basically any supply of water, but for those who get water from something like an off-grid rainwater system or an expensive water utility, the gains are immediate. If you aren’t already growing your own food to take advantage of tools like this, take a look at this primer to get you started.

Reverse-Engineering A Smoker

In certain parts of the world, cooking meat in a regionally-specific way is a critical part of the local culture. From barbeque in the American south to boerewors and braaivleis in South Africa to Montréal smoked meat in French Canada, almost every location has its cookout specialty. So much so that various manufacturers of the tools used for these foods include all kinds of gadgets to monitor the sometimes days-long process of cooking various cuts of meat. [megamarco833]’s smoker, though, includes some tools of his own design.

The smoker is made by a company called Pitboss and includes a rotary switch and control board for maintaining a precise temperature in the smoker. The switch works by changing the voltage value sent to a small microcontroller. By interfacing an ESP32 to this switch, [megamarco833] can remotely change the smoke level and temperature of the smoker. On the software side, it uses a combination of Node-RED and Domoticz to handle the automation and control.

For a cookout that can last hours (if not days) a remotely accessible smoker like this is an invaluable tool if you want to do something other than manually monitor the temperature of your meat for that much time. And, if your barbeque grill or smoker of choice doesn’t already have an embedded control board of some type, we’ve seen analog cooking tools adapted to much the same purpose as this one.

Thanks to [Peter] who sent in the tip and also helped [megamarco833] with the reverse-engineering of the control board!

Automate Internet Life With Python

Most of us are adept enough with computers that you know what they can easily do and what they can’t. Invent a new flavor of ice cream? Not easy. Grab the news headlines related to Arduinos from your favorite news feed? Relatively easy. But, of course, the devil is in the details. FreeCodeCamp has a 3-hour course from [Frank Andrade] that dives into the gory details of automating web tasks using Python and a variety of libraries like Path, Xpath, and Selenium. You can watch the course, below.

Topics start off with grabbing tables from websites and PDFs. But it quickly graduates to general-purpose web scraping and even web automation. These techniques can be very useful for testing browser-based applications, too.

By the end, you’ve created an executable that grabs news every day and automatically generates an Excel report. There’s also a little wind down about WhatApp automation. A little something for everyone. We also greatly approved of [Frank]’s workspace which appears in the background. Looks like he would enjoy reading Hackaday.

Honestly, while we’ve seen easier methods of automating the browser, there’s something appealing about having the control something like Python affords. Sure beats building hardware to simulate a human-in-the-loop.

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Automated Mushroom Cultivation Yields Delicious Fried Goodies

[Kyle Gabriel] knows mushrooms, and his years of experience really shine through in his thorough documentation of an automated mushroom cultivation environment, created with off-the-shelf sensors and hardware as much as possible. The results speak for themselves, with some delicious fried oyster mushrooms to show for it!

Fried oyster mushrooms, grown from scratch.

The most influential conditions for mushroom cultivation are temperature, humidity, and CO2 concentration, and to automate handling the environmental conditions [Kyle] created Mycodo, an open-source system that leverages inexpensive hardware and parts while also having the ability to take regular photos to keep an eye on things.

Calling [Kyle]’s documentation “comprehensive” doesn’t do it justice, and he addresses everything from setting up a positive pressure air filtration system for a work area, to how to get usable cultures from foraged mushrooms, all the way through growth and harvesting. He even includes a delicious-looking recipe for fried mushrooms. It just doesn’t get more comprehensive than that.

We’ve seen [Kyle]’s earlier work before, and it’s fantastic to see the continued refinement. Check out a tour of the whole thing in the video embedded below (or skip to 16:11 if you want to make yourself hungry.)

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Photo of an automated plant watering system attached to four potted plants.

Automation Allows You To Leaf Your Plants Alone

The greatest threat to a potted plant stems from its owner’s forgetfulness, but [Sasa Karanovic] has created an automation system that will keep his plants from getting too thirsty. Over the past year [Sasa] has been documenting an elegant system for monitoring and watering plants which has now blossomed into a fully automated solution.

If you haven’t seen the earlier stages of the project, they’re definitely worth checking out. The short version is that [Sasa] has developed a watering system that uses I2C to communicate with soil moisture, temperature, and light sensors as well as to control solenoids that allow for individual plants to be watered as needed. An ESP32 serves as a bridge, allowing for the sensors to be read and the water to be dispensed via an HTTP interface.

In this final part, [Sasa] integrates his watering system into a home automation system. He uses a MySQL database to store logs of sensor data and watering activity, and n8n to automate measurement and watering. If something isn’t quite right, the system will even send him a Telegram notification that something is amiss.

If you think automation might be the best way to save your plants from a slow death, [Sasa] has kindly shared his excellent work on GitHub. Even if you don’t have a green thumb, this is still a great example of how to develop a home automation solution from scratch. If you’re more interested in television than gardening, check out [Sasa]’s approach to replacing a remote control with a web interface!

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Occam’s Razor: Gardening Edition

While the impulse to solving problems in complex systems is often to grab a microcontroller and some sensors to automate the problem away, interfacing with the real world is often a lot more difficult than it appears. Measuring soil moisture, for example, seems like it would be an easy way of ensuring plants get the proper amount of water, but soil is a challenging environment for electronics and this solution often causes more problems than it solves. [Kevin] noticed this problem with soil moisture sensors and set about solving this problem with a much simpler, though indirect, method of monitoring his plants electronically.

Rather than relying on soil conductivity for testing soil moisture levels, he has developed an alternate method of determining if the plants need to be watered simply by continuously weighing them. The hypothesis that he had was that a plant that needs water will weigh less as the available water respirates out of the plant or evaporates from the soil. This means that using a reliable sensor like a load cell to measure weight rather than an unreliable one like a soil moisture sensor will result in more reliable data he can use to automate his plants’ watering.

[Kevin]’s build is based around an ESP32 and a commercially-available load cell which are all built into the base of the plant’s pot. The design hides all of the electronics in a pleasant enclosure and is able to communicate relevant info wirelessly as well. The real story here, however, isn’t a novel use of an ESP32 chip, but rather out-of-the-box problem solving by using an atypical sensor to solve this problem. That’s not to say that you can’t ever use other sensors to directly monitor your garden and automate its health, though.