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!
There’s more than that of course, but the wind farms that [Jason Staggs] and his fellow researchers at the University of Tulsa had permission to access were — alarmingly — devoid of security measures beyond a padlock or tumbler lock on the turbines’ server closet. Being that wind farms are generally in open fields away from watchful eyes, there is little indeed to deter a would-be attacker.
[Staggs] notes that a savvy intruder has the potential to shut down or cause considerable — and expensive — damage to entire farms without alerting their operators, usually needing access to only one turbine to do so. Once they’d entered the turbine’s innards, the team made good on their penetration test by plugging their Pi into the turbine’s programmable automation controller and circumventing the modest network security.
The team are presenting their findings from the five farms they accessed at the Black Hat security conference — manufacturers, company names, locations and etc. withheld for obvious reasons. One hopes that security measures are stepped up in the near future if wind power is to become an integral part of the power grid.
All this talk of hacking and wind reminds us of our favourite wind-powered wanderer: the Strandbeest!
When operating any kind of hydroponic farming, there are a number of lighting solutions — few of them inexpensive. Originally looking for an alternative to the lighting of IKEA’s expensive hydroponics system, [Professor Fartsparkle] and their colleague prototyped a rail system that allows clip-on LED boards for variable lighting options.
Taking inspiration from wire and track lighting systems, the key was the 5mm fuse holders mounted on the bottom of the LED boards. Snipping off their stopping clip makes them easy to install and remove from the mounting rails. The rails themselves double as power conduits for the LED boards, but keeping them out of the way is easily done with the variety of 3D printed hangers [Professor Fartsparkle] has devised. Lighting is controlled by a potentiometer on the power injection board, as well as any home automation control via an ESP8266.
[Professor Fartsparkle] asserts that the boards can be slid along the rails without any noticeable flickering, but they do suffer from heat dissipation issues. That aside, the prototype works well enough that the 3W LEDs can be run at half power.
This is an ingenious — and cheap — workaround for when sunlight isn’t an option, but you are still looking for a solution capable of automation.
Growing your own food is a fun hobby and generally as rewarding as people say it is. However, it does have its quirks and it definitely equires quite the time input. That’s why it was so satisfying to watch Farmbot push a weed underground. Take that!
Farmbot is a project that has been going on for a few years now, it was a semifinalist in the Hackaday Prize 2014, and that development time shows in the project documented on their website. The robot can plant, water, analyze, and weed a garden filled with arbitrarily chosen plant life. It’s low power and low maintenance. On top of that, every single bit is documented on their website. It’s really well done and thorough. They are gearing up to sell kits, but if you want it now; just do it yourself.
The bot itself is exactly what you’d expect if you were to pick out the cheapest most accessible way to build a robot: aluminum extrusions, plate metal, and 3D printer parts make up the frame. The brain is a Raspberry Pi hooked to its regular companion, an Arduino. On top of all this is a fairly comprehensive software stack.
The user can lay out the garden graphically. They can get as macro or micro as they’d like about the routines the robot uses. The robot will happily come to life in intervals and manage a garden. They hope that by selling kits they’ll interest a whole slew of hackers who can contribute back to the problem of small scale robotic farming.