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Newsgather
BackFarmers Use Technology to Predict and Combat Slug Infestations
Farmers Use Technology to Predict and Combat Slug Infestations
In Entwicklung
Guardian UK21.06.2026Agriculture3 dk okumaUnited Kingdom

Farmers Use Technology to Predict and Combat Slug Infestations

Auf einen Blick

  • A UK research project called Slimers is using computer models to create slug prediction maps, helping farmers target pesticide use more effectively.
  • This technology aims to reduce crop damage costs, estimated at £44m annually, and minimize environmental harm by enabling precise application of slug pellets.

KI-generierte Zusammenfassung

Warum es wichtig ist

Farmers are using technology, including computer-generated slug prediction maps, to better manage slug infestations that cause significant crop damage and financial losses in the UK.

Schriftgröße

Farmers believe they have a new weapon in their age-old battle against the slugs that destroy their crops: modern technology.

Slug prediction maps, which have been created by computer models as part of an research project, are now helping growers to better target the use of pesticides, saving them money and reducing environmental harm.

Slug damage is not just frustrating – as many gardeners will profess – but it is also expensive for arable farmers, with damage to wheat and oilseed rape crops estimated to cost almost £44m a year in the UK.

The gastropod mollusc grazes on the young leaves of emerging cereal crops and has also been known to eat barley, oat and wheat seeds. Slugs also damage potatoes and can have a huge impact on vegetable crops, as whole fields sometimes have to be abandoned if there are signs of an infestation.

The monitoring work is being carried out as part of the entertainingly named Slimers project – which stands for strategies leading to improved management and enhanced resilience to slugs.

The three-year, £2.6m scheme, which began in 2023 and comes to an end in late August, is funded by the Department for Environment, Food and Rural Affairs and led by the British On-Farm Innovation Network.

A team of 28 “slug sleuth” farmers were recruited to work alongside scientists to increase understanding of the invertebrates’ behaviour by setting up traps – large plastic saucers – on their land. This information was fed into a computer model, and an algorithm was used to predict where the slugs would be found in arable fields, while soil samples were also taken.

The resulting slug prediction maps were tested by 16 farmers over the past autumn and winter, and have already helped them to halve the amount of slug pellets they need to use to control the pests.

Charles Paynter, a farmer in Bedfordshire who was involved with Slimers from the start, has already cut back on his use of pesticides.

“My threshold for taking control measures is higher now because I have been able to prove to myself that I can evaluate the risks from slug activity with greater accuracy,” he said.

The chemical metaldehyde, which was commonly used in slug control products in the UK, was banned in 2022, and this has resulted in the increased use of ferric phosphate pellets. There is, however, appetite for alternatives to pesticides.

Prof Keith Walters and a team from Harper Adams University created the slug prediction model. He said they were now confident that it worked.

“We already knew that slugs didn’t occur randomly across fields, but that they form distinct patches according to soil type and climatic conditions,” Walters said.

“The slug sleuths’ data of slug populations across their fields helped us develop that understanding further and allowed us to confirm our hypothesis about how slug patches re-form after waterlogging.

“In waterlogged soils, [slug] patches become unstable and break down, but we have now confirmed that patches re-form temporarily in places we wouldn’t expect in normal conditions and then quickly return to their predicted areas once more typical soil conditions return.”

Another part of the Slimers project has been working to develop slug-resistant wheat varieties. Scientists have identified three areas of the wheat genome that are responsible for resistance to the grey field slug, and it is hoped this finding will pave the way for plant breeders to develop new varieties that will not be damaged by what farmers call one of the most persistent pests.

Worauf zu achten ist

KI-Ausblick — Möglichkeiten, keine Fakten

  • Further development of slug-resistant wheat varieties.

    Wahrscheinlich · Innerhalb von Monaten

Offene Fragen

  • Long-term effectiveness of prediction maps?
  • Scalability to different farm sizes?
  • Adoption rate by farmers?

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This article was originally published by Guardian UK.

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