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Industry

AI for agriculture.

We build production computer-vision and prediction systems that read what's happening in the field — disease, stress, growth, yield — and turn it into decisions growers can act on. It's the kind of crop and plant-disease vision work Nexariza has already shipped.

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Caught too late, across too much ground

No grower can walk every plant across thousands of acres, so disease, pests and crop stress are usually spotted after yield is already lost. Scouting stays manual, costly and inconsistent, and the signals that should drive irrigation, spraying and harvest decisions sit trapped in spreadsheets and in people's heads. The result is reactive farming — treating problems once they've spread instead of catching them at the plant.

What we build

Crop & plant-disease detection
Computer-vision models that identify disease, pests and nutrient stress from drone, phone or field-camera imagery, flagging affected zones early enough to treat them before they spread. This is the type of crop-vision work Nexariza has delivered in production.
Yield estimation & crop counting
Detection and tracking models that count fruit, gauge crop density and forecast yield straight from imagery, giving growers reliable numbers to plan harvest, labor and sales instead of relying on rough estimates.
Precision weed & spray targeting
Vision systems that distinguish crop from weed in real time so spraying is applied only where it's needed — cutting chemical use and cost while protecting the healthy plants around it.
Produce grading & quality sorting
On-line vision that grades and sorts produce by size, ripeness and defects at packing-line speed, replacing slow, subjective manual inspection with consistent, objective quality decisions.