• Another Catgirl
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      1 year ago

      I hope farmers refuse to buy any weeding machine that they don’t fully own (right to repair, etc.)

  • Lordbaum@mander.xyz
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    1 year ago

    Looks cool and probably really useful, but I don’t know how much sustainable future relies on Monocultures, because of loose of biodiversity, soil etc you know the drill.

  • Another Catgirl
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    1 year ago

    I’ve seen lasers do the same job more effectively. An attachment for a combine.

  • AutoTL;DR@lemmings.worldB
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    1 year ago

    This is the best summary I could come up with:


    So a Swedish company named Ekobot AB has introduced a wheeled robot that can autonomously recognize and pluck weeds from the ground rapidly using metal fingers.

    It’s tuned for weeding fields full of onions, beetroots, carrots, or similar vegetables, and it can cover about 10 hectares (about 24.7 acres) in a day.

    It navigates using GPS RTK and contains safety sensors and vision systems to prevent it from unintentionally bumping into objects or people.

    To pinpoint plants it needs to pluck, the Ekobot uses an AI-powered machine vision system trained to identify weeds as it rolls above the farm field.

    Two years ago, Ekobot announced a collaboration with Swedish telecom company Telia that led to the integration of 5G mobile technology into the robot, which lets it communicate remotely with a central server to share collected learning data from anywhere in a farm field.

    When coupled with research on lasers that zap pests in flight, AI may help pave the way for a more sustainable and environmentally friendly farming system if widely adopted.


    The original article contains 487 words, the summary contains 173 words. Saved 64%. I’m a bot and I’m open source!

  • Semi-Hemi-Demigod@kbin.social
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    1 year ago

    Operating this at scale will be a problem. Yes, you can make one this big, but how durable is it when you build one at industrial scale? If you need a million little tiny fingers working for days at a time, what’s the mean time to failure and how hard are they to replace?