The frame is built out of the same brackets and aluminum tubing used to add handrails to stairwells on buildings. Not only is this a fast way to do it, the set-up can be guaranteed to be sturdy since hand rails are often literally standing between life and death. The high ground clearance allows for all sorts of sensors and devices to be mounted while still being able to clear the plants below.
For motion hub motors driven by an ODrive were re-purposed for the task. He explored turning the wheels as well, but it seems like differential steer and casters works well for this set-up. ROS on an Nividia Jetson runs the show and deals with the various sensors such as a stereoscopic camera and IMU.
We’re excited to see what hacks people come up with as research in this area grows. (Tee-hee!) For example, [Junglist] wants to see the effect of simply running a UV light over a field rather than spraying with pesticides or fungicides would have.
While it’s not exactly in the same vein as other projects around here, like restoring vintage video game systems or tricking an ESP32 to output VGA, keeping chickens can also be a rewarding hobby. They make decent pets and can also provide you with eggs. You can also keep them on a surprisingly small amount of land, but if you have a larger farm you can use them to help condition the soil all over your property. For that you’ll need a mobile henhouse, and as [AtomicZombie] shows, they don’t all have to be towed by a tractor.
This henhouse is human-powered, meaning any regular human can lift it up and scoot it around to different areas without help from heavy equipment. It uses a set of bicycle wheels which rotate around to lift up the frame of the house. A steering wheel in the back allows it to be guided anywhere and then set down. It also has anti-digging protection, which is a must-have for any henhouse to keep the foxes out.
We like this one for its simplicity and ease-of-use. Not needing a tractor on a small farm can be a major cost savings, but if you really need one, [AtomicZombie] also designed a robust all-electric tractor-like device that we featured a little while back.
There are some utility bicycles on the market, some with electric motors to help carry a good bit of cargo. If you really need to haul more weight than a typical grocery-getter like this, you’ll want to look into a tricycle for higher capacity loads. Nothing you’ll find will match this monstrous electric tricycle hand-built by [AtomicZombie] out of junkyard parts, though. It’s a mule.
Since [AtomicZombie] sourced most of the underpinnings of this build from the junkyard, it’s based on an old motorcycle frame combined with the differential from a pickup truck, with a self-welded frame. He’s using an electric motor and a fleet of lead acid batteries for the build (since weight is no concern) and is using a gear reduction large enough to allow him to haul logs and dirt with ease (and dump them with the built in dump-truck bed), and even pull tree stumps from the ground, all without taxing the motor.
[AtomicZombie] documented every step of the build along the way, and it’s worth checking out. He uses it as a farm tractor on his homestead, and it is even equipped with a tow hitch to move various pieces of equipment around. Unlike a similar three-wheeled electric contraption from a while back, though, this one almost certainly isn’t street legal, but it’s still a blast!
One of the hardest aspects of choosing a career isn’t getting started, it’s keeping up. Whether you’re an engineer, doctor, or even landscaper, there are always new developments to keep up with if you want to stay competitive. This is especially true of farming, where farmers have to keep up with an incredible amount of “best practices” in order to continue being profitable. Keeping up with soil nutrient requirements, changing weather and climate patterns, pests and other diseases, and even equipment maintenance can be a huge hassle.
A new project at Hackerfarm led by [Akiba] is hoping to take at least one of those items off of farmers’ busy schedules, though. Their goal is to help farmers better understand the changing technological landscape and make use of technology without having to wade through all the details of every single microcontroller option that’s available, for example. Hackerfarm is actually a small farm themselves, so they have first-hand knowledge when it comes to tending a plot of land, and [Bunnie Huang] recently did a residency at the farm as well.
The project strives to be a community for helping farmers make the most out of their land, so if you run a small farm or even have a passing interest in gardening, there may be some useful tools available for you. If you have a big enough farm, you might even want to try out an advanced project like an autonomous tractor.
For his Hackaday Prize entry, [TegwynTwmffat] is going all-in on autonomous robotics. No, it’s not a self-driving car with highly advanced features such as cruise control with lane-keeping. This is an autonomous robot that’s capable of driving itself. It’s a robot built for agriculture, and relative to other autonomous robotics projects, this one is huge. It’s the size of a small tractor.
The goal [Tegwyn]’s project is to build a robot capable of roving fields of crops to weed, harvest, and possibly fertilize the land. This is a superset of the autonomous car problem: not only does [Tegwyn] need to build a chassis to roll around a field, he needs accurate sensors, some sort of connection to the Internet, and a fast processor on board. The mechanical part of this build comes in the form of a rolling chassis that’s a bit bigger than a golf cart, and electrically powered (although there is a small Honda generator strapped to the back). The electronics is where this gets really interesting, with a rather large board built to house all the sensor and wireless modules, with everything controlled by a TC275, a multicore, 32-bit microcontroller that also has the world record for solving a Rubik’s cube.
Already, [Tegwyn] has a chassis and motor set up, and is already running some code to allow for autonomous navigation. It’s not much now — just rolling down a garden path — but then again, if you’re building a robot for agriculture, it’s not that hard to roll around an open field. You can check out a video of the bot in action below.
They say that a picture is worth a thousand words. But what is a picture exactly? One definition would be a perfect reflection of what we see, like one taken with a basic camera. Our view of the natural world is constrained to a bandwidth of 400 to 700 nanometers within the electromagnetic spectrum, so our cameras produce images within this same bandwidth.
For example, if I take a picture of a yellow flower with my phone, the image will look just about how I saw it with my own eyes. But what if we could see the flower from a different part of the electromagnetic spectrum? What if we could see less than 400 nm or greater than 700 nm? A bee, like many other insects, can see in the ultraviolet part of the spectrum which occupies the area below 400 nm. This “yellow” flower looks drastically different to us versus a bee.
In this article, we’re going to explore how images can be produced to show spectral information outside of our limited visual capacity, and take a look at the multi-spectral cameras used to make them. We’ll find that while it may be true that an image is worth a thousand words, it is also true that an image taken with a hyperspectral camera can be worth hundreds of thousands, if not millions, of useful data points. Continue reading “Hyperspectral Imaging – Seeing The Unseeable”→
As the world’s population continues to increase, more food will be needed for all the extra mouths to feed. Unfortunately, there’s not a whole lot of untapped available farmland. To produce extra food, crop yields need to increase. [Vignesh Ravichandran] is tackling this with the Farmcorder – a device for detecting crop nutrition levels.
The device centers around using spectroscopy to measure the chlorophyll content of leaves. This information can then be used to make educated decisions on the fertilizer required to maximize plant yield. In the past, this has been achieved with expensive bespoke devices, or, at the other end of the spectrum, simple paper color charts.
[Vignesh]’s project takes this to the next level, integrating a spectroscopy package with a GPS and logging over the GSM mobile network. This would allow farmers to easily take measurements out in the field and log them by location, allowing fertilizer application to be dialed in on a per-location basis. The leaf sensor package is particularly impressive. Relying on a TSL2561 sensor IC, the samples are lit with 650nm and 940nm LEDs. The sensor readings can then be used to calculate the chlorophyll levels in the leaves.
It’s a project that sets out to tackle a serious world problem and uses off-the-shelf parts and some hacker know-how to do so. We hope to see this hardware on farms across the world in the near future!