The innovation isn’t a physical farm implement, but a smartphone app. With just a handful of harvested corn, the app allows farmers to gauge — without leaving the field — the effectiveness of their harvesting machinery so that they can achieve the highest-quality cracked corn.The app — named SilageSnap — is now available for free download on the Apple App Store and Google Play Store. More information is available at https://go.wisc.edu/silagesnap.
Cracking corn breaks up the tough outer kernel, exposing the nutritious starch inside.
“Cracked corn makes the feed easier to digest, so cows can produce more milk,” says Brian Luck, a UW–Madison assistant professor of biological systems engineering and extension machinery systems specialist, who helped develop the app.
Excellently cracked corn can boost milk production by up to two pounds (or, about a quart) per cow per day, according to studies conducted in UW–Madison’s Department of Dairy Science.
Harvest machinery cracks corn by passing pieces of plant material between two grinding roller-wheels. Wear and tear on the machine can make it less effective, and some fields of corn resist cracking more than others.
Farmers can fine-tune their harvests to a certain extent by controlling the width of the gap between the wheels: Narrower spaces squeeze kernels more strongly, but also slow down the equipment — and thus, the harvest; wider gaps allow the machines to move faster, but risk leaving too many kernels intact.
“The problem is, when the harvester goes through the field, there’s no way for farmers to tell how well they cracked the kernels,” says Luck.
Even though farmers can easily recognize whole, uncracked corn kernels in their harvest, it’s almost impossible for them to tell at a glance what percentage of the cracked corn is just right. After the harvest, farmers send samples of their corn to commercial labs that dry and pass the grain through nine shaking and rotating sieves of varying sizes in a large proprietary contraption that eventually returns a number for the overall corn silage processing score.
And that score determines the corn’s value as animal feed.
If 70 percent of the cracked corn fits through a hole the width of a standard drinking straw, then the corn receives an excellent score—fit for a dairy cow’s feast.
Unfortunately for many farmers, the lab results yield merely adequate, or even poor, scores, meaning they must feed their cows much more grain every day to meet nutritional requirements.
The SilageSnap app is a convenient and accurate in-the-field alternative to after-the-fact processing scores. While farmers don’t have access to lab equipment on their tractors, most do carry smartphones in their pockets—and those small devices pack more than enough computational muscle to measure corn kernels.“We wanted to develop a product that would help the people of Wisconsin,” says Rebecca Willett, who collaborated with Luck on the project while she was an associate professor of electrical and computer engineering at UW–Madison. She is now a professor of computer science and statistics at the University of Chicago. “The app is very efficient and fast; you get a response almost immediately. Producers can even use it throughout their fields to adapt to changing field conditions. Because it uses so little power, repeated use does not drain their batteries.”
To use the app, farmers merely spread out a small sample of corn, set down a coin to calibrate for pixel size, and snap a photo with their phones. Image-processing algorithms then calculate kernel-processing scores right there in the field, instead of weeks after the harvest at an external lab.
Based on kernel processing scores and summary statistics from the app, farmers can fine-tune their machinery on the spot — rather than develop contingency plans after the harvest is well over. And initial results suggest that the scores returned from the app align very closely with official results from commercial corn silage processing score evaluations.
SilageSnap gives farmers information that frees them from the uncertain trade-off between creeping through the corn rows slowly to thoroughly pulverize every last piece of plant material or speeding up the process at the risk of harvesting an entire silo’s worth of lower value feed corn. “It all comes down to data,” says Luck. “How much data can people gather to assess their operations and maximize efficiency?”
The project was supported by grants from the Midwest Forage Association and the Ira and Ineva Reilly Baldwin Wisconsin Idea Endowment at UW–Madison.