Greeneye Technologies

For the last two decades, precision agriculture has steadily reshaped farming. GPS-guided tractors, variable-rate fertilizer, satellite imagery, drone scouting, soil sensors — each layer has chipped away at the inefficiency built into industrial agriculture. The progress has been real, and farmers today have more data about their land than at any point in history.

But at the most expensive, most consequential step of crop production — the spray pass — the practice has barely changed.

Most of the herbicide sprayed on a typical field never touches a weed.

A farmer driving a 120-foot boom across a 2,000-acre field is still doing what farmers did fifty years ago: spraying the entire field uniformly, hoping the chemical lands where it's needed. In a typical row crop, weeds occupy 10–15% of the surface area. Everything sprayed on the remaining 85% is waste — waste of expensive herbicide, waste of fuel, waste of soil and water health, and waste of margin a farmer can't afford to lose.

The Opportunity: Precision Has Reached Every Step But One

Broadcast spraying was built for a world without computer vision. The technology to change that — high-resolution cameras, onboard AI inference, GPU compute rugged enough for a tractor — has only recently crossed the cost and reliability threshold needed to operate at 12 mph through dust, heat, and vibration. Until now, the closest farmers got to precision spraying was a recommendation in a software dashboard, generated days after the optimal spray window had passed.

The next leap in agriculture isn't telling farmers what to do. It's making the decision, in real time, as the boom passes over the field.

A Smart Sprayer Out of Every Sprayer

Greeneye's Selective Spraying System (SSP) is a retrofit kit. It mounts to the boom of any existing sprayer — John Deere, Case, AGCO, the make doesn't matter — and turns that sprayer into an intelligent machine. Cameras image the field at sub-millimeter resolution as the boom moves; onboard AI identifies every weed in milliseconds; individual nozzles fire only where they need to. What used to be a single broadcast pass becomes a targeted strike with the same time, the same equipment, and a fraction of the chemical.

Their platform does three critical things:

1. Sees every square inch. Boom-mounted cameras scout the entire field in sub-mm resolution on every pass. Every spray run is also a scouting run.
2. Sprays only the weed. Real-time AI fires individual nozzles in milliseconds, cutting herbicide use by an average of 87%.
3. Turns every pass into data. Field-level scouting reports feed back into the farmer's herbicide program through Greeneye's scouting platform, shifting precision ag from recommendation-based to decision-based.

The dual-line system handles the realistic case: contact herbicide targeted precisely onto the weeds, residual herbicide broadcast across the whole field, both in a single pass. The whole system is ISOBUS-compatible, modular, and designed for the realities of a working farm. ROI lands in 18–24 months on most operations — fast enough for the system to pay back before the next equipment cycle.

Why We Invested

Three things had to be true at the same time for retrofit precision spraying to work, and they finally are:

• The economics are forcing the issue. Chemical input costs are rising, environmental regulation is tightening, water-quality scrutiny is intensifying, and global food demand keeps climbing. Every line on every farmer's P&L is under pressure, and herbicide is one of the biggest.
• The hardware is here. Cameras, edge GPU compute, and rugged enclosures have crossed the cost and reliability threshold for the tractor environment. What required a research lab five years ago now sits on a boom for the price of a used pickup.
• The wedge is right. Farmers don't trade in $500K sprayers, and they won't bet a season on unproven equipment. A retrofit that bolts onto what they already own, runs alongside their existing herbicide program, and pays back in under two years is the only way precision spraying scales.

The Greeneye team has spent years building the integration muscle that ag tech actually requires — working alongside agronomists, dealers, and operators to turn a research-grade computer vision system into equipment that holds up in a 12 mph dust storm, season after season. The hard part of ag tech has never been the model. It's the field.

Modern agriculture knows how to grow more. Greeneye is teaching it where to aim.