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Mapping the invisible

Clive uses advanced precision agriculture tools, including electromagnetic induction (EMI) scanning, RTK GPS-referenced soil sampling, and drone imagery, to create detailed maps of soil texture, variability, and moisture holding capacity. These maps help to identify potential slug hotspots that guide trial layout for both monitoring and management strategies, and provide the baseline for variable rate applications.

Each year, shortly after harvest, Clive visits each Slug Sleuth farm to carry out the initial soil mapping. Following drilling, he returns to establish a dedicated 1-hectare monitoring plot. This plot is overlaid with a georeferenced 10×10 grid and fitted with 100 slug refuge traps. Care is taken to align the grid with areas known to be slug-prone based on both farmer insight and soil characteristics revealed through the mapping.

As the project progresses, the data provided by Agrivation is being used by researchers at Harper Adams University to support the development of the slug patch prediction models. These models aim to help farmers target slug control more effectively, reducing pesticide use while protecting crop establishment.

Clive says: “Working alongside the Slug Sleuths on this project has been a fantastic opportunity to combine cutting-edge soil science with practical, on-farm decision making. By mapping the invisible – what’s happening beneath the surface – we’re helping build the evidence base that will lead to smarter, more sustainable slug control.”

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The BOFIN app

Tom Allen-Stevens explains: “Monitoring and recording so many data points within the project has been a challenge. We have been using the HUSK app for the past two seasons, but this has its limitations.”

The new app, in beta-testing over summer 2025, has been developed so that all the Slug Sleuths carry out the monitoring work in a consistent way, for scientific validation. But feedback from the field has ensured data entry is practical and quick, giving users easy reference on progress of monitoring work.

The app has been designed so that it can be easily adapted to other on-farm trials, and will integrate with a novel wheat plant population tool, that will monitor wheat emergence using photos taken of the crop. Developed by Insight ML, the AI tool is being trained on around 3000 images of emerging crops taken by the Slug Sleuths.

“It’s been a job for us to find a consistent and objective way to monitor crop emergence and early growth. Last autumn, at each visit we all took photos of 20 quadrats marked out in the 1ha monitoring area. This year, we will hopefully be able to use the tool to tell instantly what the plant population is, which will be useful when monitoring all crops, not just within trials,” notes Tom.

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AI-powered slug detection

Within SLIMERS Fotenix is working to identify slugs and create smart maps to guide targeted use of new, more sustainable pesticides.

CEO Charles Veys explains: “Our role is to build AI-powered slug detection, right there in the field. But first, we’ve got to train the AI, and that means putting slugs in the crosshairs.”

In early 2025 the team at UK Agri-Tech Centre scanned slugs across the Slug Sleuths’ farms, helping pinpoint the exact spectral signature of the
unwelcome visitors.

“This labelling approach is helping us to build libraries of key pests to allow development of software pipelines that can spot slugs earlier, and more accurately than a human or drone scout – a hot topic in pest management across crops.”

The next step is to scale the tech from trials to commercial scale, and integration with Farmscan Ag’s automated sprayer to move one step closer to viable per-slug detection and treatment.

The result in sight is smarter slug control, reduced chemical use, and stronger crops

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Precision application

“While the researchers are working on predicting where slugs will be and identifying them in situ, we are the application partner – converting that knowledge into real world activity,” explains director Callum Chalmers.

“The end goal is an automated system that will find slugs in the field and spray them precisely with nematodes. These are very expensive so unless application is highly accurate it won’t be viable.”

The team is working on making spray width as small as possible and once developed the spray system will be added to an existing autonomous farm vehicle. “We are aiming for 25cm or less, which would mean four nozzles per metre,” explains Callum. “We are running first trials at the end of 2025, then field trials will be in full swing in early 2026.

“It’s great to be part of the SLIMERS project. I believe the government will continue to clamp down on agrichemicals, so farmers need economically viable alternatives.”

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Revolutionising slug control

While studying at Liverpool John Moores University, Kerry’s PhD focused on improving the efficacy of parasitic nematodes, specifically Phasmarhabditis hermaphrodita, as a biological control for slugs.

These nematodes, which are natural predators of slugs, thrive in the same moist, organic-rich soils favoured by slugs. Like slugs they also thrive in soils with higher organic matter and clay content, and at lower temperatures.

Dr Kerry McDonald-Howard is research associate with UK Agri-Tech Centre. With a degree in Zoology, and a PhD on improving the efficacy of the parasitic nematode as a biological control of slugs Kerry describes themself as a ‘malacologist, nematologist, parasitologist and entomologist’

Nematodes, often called roundworms, are among the most abundant animals on earth. While most are harmless, a select few, like those in the Phasmarhabditis genus, are specialised slug parasites. These microscopic hunters track slugs by following their slime trails, enter through a small breathing hole, and ultimately kill their host within a few weeks. As they are harmless to other wildlife and the environment, they are considered a sustainable biological alternative to chemical molluscicides.

The key to effective nematode use is precision explains Kerry: “Nematodes can’t travel far in the soil, and applying them across an entire field would be prohibitively expensive. But if we can pinpoint exactly where the slugs are, we can target applications, making biological control both affordable and effective.”

Kerry works from the UK Agri-Tech Centre’s Phenotyping laboratory based at Rothamsted Research where they lead experiments using advanced imaging and AI to distinguish slugs. These technologies are being trained using thousands of images and data points collected by the project’s Slug Sleuth farmers and partners.

“Together with Fotenix we are building AI models that will recognise slugs, monitor populations, and apply nematodes precisely where they’re needed.”

So far, the SLIMERS team has successfully trained AI models to distinguish slugs from soil, plants, and stones and Kerry has more recently been working in Slug Sleuth’s fields, collecting more data, and refining both the technology and the biological control strategies.

This has involved taking the highly specialised Fotenix multi-spectral imaging equipment out into fields to collect more images of slugs
in a variety of locations. As slugs generally reach a period of peak activity on the soil surface starting two to three hours after dark Kerry has been heading out into the farmers’ fields late at night.

“With it being so dry it has been a challenge to find slugs this spring so we have had to wait until late when there is more moisture.”

Kerry is optimistic about the project’s impact. “The agricultural industry is in a constant struggle of needing to produce more with less, especially chemical inputs – not only because of the detrimental impacts to the environment and non-target organisms, but also the rising costs.
“The ability to monitor and control a massive pest of UK agriculture, in a sustainable and cost-effective manner is fundamental therefore, this project delivers economic, environmental and societal benefits.

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Cracking the code to slug resistant wheat

This work is based on previous research that screened varieties from the centre’s Watkins collection of landrace wheat varieties. This singled out Watkins 788 as a potential front runner for ‘slug resistant’ properties after 78% of slugs demonstrated a dislike to it.

From there, the team at JIC, led by Dr Simon Griffiths, crossed Watkins 788 with commercial variety Paragon, to create 85 Recombinant Inbred Lines (RILs) for further testing.

Dr Simon Griffiths leads the Delivering Sustainable Wheat group at the John Innes Centre. His group discovers new and useful genetic diversity from the AE Watkins collection of bread wheat landraces. They take these discoveries forward into pre-breeding with targets for marker assisted selection and gene editing prioritised by the DSW Breeders Toolkit Committee.

Quantitative Trait Locus (QTL) analysis is a genetic tool that helps identify specific regions of a plant’s DNA linked to desirable traits, such as slug resistance in wheat. By combining data from field trials with lab-based genetic testing, researchers are getting closer to identifying which part of the genome influences the apparent resistance.

Researchers use DNA markers to scan the genomes of resistant and susceptible RILs. Regions consistently linked to lower slug damage are flagged. Once the QTLs are confirmed, those genetic markers can potentially be used to create new slug resistant varieties.

The centre’s Head of Entomology and Insectory Dr Victor Soria-Carrasco has run trials on these RILS using slugs that have been posted in by ‘Slug Scouts’. These are members of the public (including farmers) who collect and post containers of grey field slugs to the centre.

Dr Simon Griffiths, Group Leader and ‘Delivering Sustainable Wheat’ Programme Lead says: “Early results have highlighted a number of RILs that appear to be slug resistant, as well as those that are susceptible. Using the diverse wheat in our historic Watkins collection in these trials is really exciting, as we’re starting to see it becoming an increasingly useful resource for tackling the challenges that farmers face in the field.”

Two of these RILs as well as Watkins 788 were multiplied up for testing by six Slug Sleuth farmers who took on the additional responsibility within the SLIMERS project. The farmers established blocks of Watkins 788 and the two RILS – one believed to be resistant and the other susceptible to slugs – alongside their farm standard wheat. Over the 2024-5 growing year they have taken measurements and samples to find out if these are indeed spurned by slugs and could offer potential solutions to farmers.

Meanwhile the on-going lab-based feeding trials have identified other even more resistant RILs that are currently being multiplied up at the John Innes Centre field station near Norwich, and will be put into field trials in autumn 2025.