Agriculture Technology Podcast · RDO Equipment Co.

Ep. 230 - John Deere FurrowVision Explained: Cameras in the Furrow for Smarter Planting

·33 min·2 clips

Furrow Vision produces a depth metric, a residue metric, dirty-lens detection, and real-time video in the cab.

Tony Kramer opens the conversation by framing Furrow Vision as a John Deere technology aimed at helping growers improve planting performance. Stephen Schwartz introduces himself as an agronomist and planter product marketing manager at John Deere. Jeff Spencer joins to explain the practical side of the system. The discussion stays close to field use. Furrow Vision watches the furrow as it is formed. That gives the operator a way to see what is happening without stopping to dig. The system is meant to show how row cleaners, downforce, and other planter settings affect the quality of the furrow. It is described as an in-cab experience that puts more information in front of the operator. Those same metrics are also off-boarded to op center. That lets a grower review what happened after planting or after the season. The goal is to connect what was seen in the cab with what can be analyzed later in the season. They talk about using that history to compare depth consistency and other agronomic layers against yield outcomes. The episode also makes clear that this first version is not full automation. It is a detection and sensing system first. That base is meant to support automation later. For now, the emphasis is on helping operators make better decisions while the planter is running. The show keeps returning to a familiar benchmark in farming. The old way was to stop and dig. Furrow Vision is positioned as a way to keep working and still know more about what the planter is doing. The tone stays technical but grounded. It sounds like machinery talk meant to help someone actually plant better. There is also a practical educational feel throughout. The speakers define terms as they go. They keep tying the technology back to day-to-day field decisions. By the end, the episode has a clear shape. It is about seeing the furrow sooner, adjusting sooner, and learning from the data afterward.

As heard by us

A clear look at planter sensing that ties live adjustment to later data review.

Furrow Vision is treated as a working planter tool, not a promise for later. Stephen Schwartz and Jeff Spencer walk through how the system tracks the furrow in real time, how row cleaners and downforce shape what it reads, and why the operator still matters when the field…

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Why you'd press play

You want a clear look at the furrow forming while the planter is still moving.

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