Farm Credit Knowledge Center to Host Precision Agriculture Technology Workshop at Kentland Farm

The Farm Credit Knowledge Center will host the first of two free Precision Agriculture Technology Workshops at Virginia Tech’s Kentland Farm on November 6, 2019 from 9 AM to 1 PM.

The 2019 Precision Agriculture Technology Workshop is a free offering from the Farm Credit Knowledge Center in which participants will learn about precision agriculture tools used to enhance beef and dairy management as well as industry best practice relating to these technologies.


Participants will have the opportunity to visit Virginia Tech's agricultural research center, Kentland Farm. In addition to touring and learning about the university's state-of-the-art dairy facility, attendees will hear an overview of current research out of the College of Agricultural and Life Science, attend a presentation on cattle feed efficiency, and receive a demonstration on agricultural drone use. On farm transportation and lunch will be provided.

Marie Rothwell, Knowledge Center Program Specialist, shared, "We are excited to provide this opportunity to the agricultural community in Southwest Virginia. Technology continues to make a larger and larger impact on producer's success in today's agricultural landscape. We hope participants will leave the event with insight they can take home to their own operations."

Registration can be made via Eventbrite, by contacting Marie Rothwell at (540) 463-5255 ext. 5415 or by email at MRothwell@FCVirginias.com.

The second workshop will be held at Reymann Memorial Farm in Wardensville, WV, on November 12, 2019 from 9:30 AM to 1:30 PM EST. For more information on the Wardensville event, please visit the Farm Credit Knowledge Center website: https://farmcreditknowledgecenter.com/.

Featured Product

How to overcome GNSS limitations with RTK correction services

How to overcome GNSS limitations with RTK correction services

Although GNSS offers ubiquitous coverage worldwide, its accuracy can be hindered in some situations - signals can be attenuated by heavy vegetation, for example, or obstructed by tall buildings in dense urban canyons. This results in signals being received indirectly or via the multipath effect, leading to inaccuracy, or even blocked entirely. Unimpeded GNSS positioning in all real world scenarios is therefore unrealistic - creating a need for supporting technologies, such as real time kinematic (RTK) positioning and dead reckoning, to enable centimeter-accuracy for newer mass-market IoT devices.