What this means in practice

  • Cameras on a tractor, sprayer, cart or drone take pictures of the crop rows at set times in the season, at the same height and time of day when they can.
  • The model is trained on the clients own fields, crops and the weeds that show up there. It marks plants that look like weeds between and inside the rows, and patches where weeds are thick or spreading.
  • Each patch is saved with a photo, the field, the row, the GPS spot and the date, so the crew can walk straight to it and the farm can see which fields and rows need attention first.
  • The farm manager or a licensed advisor checks the map and decides on hand weeding, cultivation or spot treatment. The cameras point at the crop, not at people, and any people or plates caught in view are blurred.
  • Start with one field and one crop, compare the camera map with what the crew finds on a few walks, and keep every label, buffer, worker safety and record rule for any treatment exactly as it is.

How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.