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Technology

Inside DOS.

For agronomists, engineers, partners and anyone curious about the details. DOS combines computer vision, onboard computing and electronically controlled valves. All components are in development.

System architecture

Six Parts, One Add-On.

DOS is being developed as an adaptable system that integrates with conventional sprayers rather than replacing them.

  1. 1

    Camera modules

    Capture the orchard floor ahead of the nozzles.

  2. 2

    Onboard processing computer

    Runs detection on the machine itself.

  3. 3

    Detection software

    Computer-vision model that flags weeds.

  4. 4

    Spraying controller

    Turns detections into valve commands.

  5. 5

    Electrically controlled valves

    Open only over areas marked for treatment.

  6. 6

    Existing agricultural sprayer

    The farmer's current machine stays in service.

1Camera modules2Onboard computer3Detection software4Spray controller5Electric valves6Existing agricultural sprayer
Conceptual system diagram — not a photograph of a working installation.

Processing pipeline

From Image to Valve Command.

  1. 01

    Camera Scanning

    Cameras capture images of the ground as equipment moves through the orchard.

  2. 02

    AI Image Processing

    Computer-vision software analyzes images and identifies weeds.

  3. 03

    Detection Decision

    The system determines whether a detected area requires treatment.

  4. 04

    Smart Valve Control

    The planned control mechanism opens and closes selected spraying valves to target identified weeds.

  5. 05

    Continuous Improvement

    Testing and feedback help the team refine detection reliability and system performance.

Research roadmap

One Platform. Expanding Possibilities.

Beyond weed detection, we're exploring how intelligent systems could help monitor and manage orchards. Items beyond the first are long-term research directions.

  1. 01In development

    Precision targeted weed spraying

  2. 02Planned

    Advanced weed-detection intelligence

  3. 03Research Direction

    Orchard health, disease, and pest monitoring

  4. 04Research Direction

    Seasonal harvest prediction

  5. 05Research Direction

    Semi-autonomous navigation

  6. 06Research Direction

    A broader orchard intelligence ecosystem

Want to see it on your farm?

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