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Weed mapping

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With camera technology and the latest development in artificial intelligence and big data, we can accurately map weeds in the field.


With weed maps, it is possible to address one of the key elements of precision agriculture — to only act where necessary and thus reduce the environmental impact and benefit the farmer’s economy.

The automated mapping of weeds works both for grasses in high-value crops, as well as mono and dicotyledonous weeds in cereal.

Raw image of a cereal field
Automatically detected weeds marked in the same image
Raw frame Detections
Drag the divider to see the automatic detection of weedslat 55.9953°N lon 8.6256°E
Weed map merged from many individual images
Field map merged from individual framesact only where necessary

More work

See the other cases, or read about the systems behind them.

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