Youth exhibiting livestock projects are eligible; contest runs May 1-31.
Digi-Star announces its fourth annual Digi-Star Champion Contest, which runs May 1-May 31. Youth livestock exhibitors are encouraged to post a picture of their 2016 livestock project to Digi-Star's Facebook page, www.facebook.com/DigiStarLLC, to enter. The participant's photo with the most votes will win his or her choice of an Alleyway or Wrangler Jr. Livestock scale and a StockWeigh 300 indicator.
Tyler Gibson of Virginia had the 2015 winning photo, and he chose a Wrangler Alleyway Livestock scale with a StockWeigh 300 indicator as his prize.
"Digi-Star values the opportunity to support the future of agriculture. The Digi-Star Champion Contestis just one of the ways we can share our passion with the next generation," said Nicole Dempsey, Digi-Star animal products manager.
Recognizing that access to a scale often limits this critical measurement process, Digi-Star developed the Digi-Star Champion Contestin 2013. The exhibitor whose picture receives the most Facebook votes by midnight, May 31, 2016, will be the winner. After the contest ends, anyone that entered will receive a special discount code for Digi-Star's online store. The contest is open to all youth under 21 years of age in Canada and the continental U.S. exhibiting livestock during the 2016 show season.
In an ongoing effort to support youth livestock education, Digi-Star also offers specific discounts to Vo-Ag instructors for livestock scale systems purchased online at Digi-Star.com. Instructors just need to call 800-225-7695 and request the Vo-Ag coupon code.
For more information, call 920-563-1400 or email: email@example.com.
Digi-Star LLC (digi-star.com), a Topcon Positioning Group company, is headquartered in Fort Atkinson, Wis., with additional facilities and businesses in the Netherlands and United Kingdom.
Digi-Star LLC is a global supplier of electronic sensing equipment, precision sensors, displays and software used by farmers and other equipment operators to precisely measure and analyze valuable data from critical farming processes.