AI is moving from lab to field. URUS is buying AgriWebb to connect 25 million animals into a global protein data network. A Cornish-built robot named Raggy is starting field trials to remove ragwort without chemicals. And a New Zealand startup is using 3D modeling and computer vision to predict vineyard yields down to the individual berry. — Warren
Lead Story
GLOBAL — June 5, 2026 — URUS plans to buy AgriWebb. Big investors now want farm data platforms, not standalone software. The combined URUS-AgriWebb platform will track about 25 million animals. Justin Webb, CEO of AgriWebb, says the pattern is clear. KKR bought smaXtec. Apax bought Foods Connected. Founders Fund backed Halter. Now URUS adds genetics, farm networks, and livestock data at global scale. Talks began in late 2025. The deal still needs regulatory approval.
Why it matters: Livestock farms are shifting from separate apps to connected systems. Genetics, herd records, and supply chain tools are merging into one platform. For farmers, this ties breeding choices to market prices. For agtech, it shows that live farm data is now worth more than software alone.
AI Angle: AgriWebb has built AI-powered livestock management tools for beef and grazing operations. The URUS deal will integrate those tools with genetic databases, artificial insemination technologies, and supply chain analytics to create predictive, outcome-driven decisions across both dairy and beef production.
Lead Story
DORSET, UK — June 5, 2026 — A farm robot named Raggy has started field trials in Dorset, UK. The electric robot finds and removes ragwort, a poisonous weed that can kill horses and cattle. It was built by Cornish firm Robotriks in partnership with Dorset Council and Telint. Ragwort is usually pulled by hand, which takes time, costs money, and risks chemical exposure. Raggy uses cameras and sensors to spot the weed and remove it without sprays. The robot will test on several farms through the summer.
Why it matters: Ragwort control is a constant headache for graziers. Hand-pulling is slow and expensive, and chemical sprays risk runoff and residue. An electric robot that targets only ragwort could cut labor costs and reduce chemical use in pastures.
AI Angle: Raggy uses edge AI and machine vision to identify ragwort in real time and guide autonomous removal. The robot is built on Robotriks’ Robotic Traction Unit, a platform designed for real-life farm conditions with GPS and LiDAR navigation.
Lead Story
NEW ZEALAND — June 5, 2026 — HoloCrop used 3D modeling and AI to count over 60,000 grape berries across four vines. It did not pick a single grape. The rover drives between rows using GPS and LiDAR. Cameras take thousands of photos. Software stitches them into a 3D model. Computer vision then spots, counts, and sizes each berry. The system is already 95% accurate for cherries two weeks before harvest. Apple accuracy should be even higher.
Why it matters: Growers make nearly every major decision before harvest. Those choices depend on yield estimates. Human counters often differ by 25% when counting the same plants. HoloCrop builds size histograms and virtual packouts from 3D data. That gives growers precise numbers weeks before picking starts.
AI Angle: HoloCrop uses computer vision and image recognition models trained on 3D reconstructions of orchard canopies to detect, count, and size individual fruits. The AI builds predictive yield models from the 3D data, replacing human estimation with machine precision.
Quote of the Day
Livestock production is moving from isolated tools and software products toward connected biological, operational and supply chain systems. In that context, platforms like AgriWebb become less ‘farm software’ and more infrastructure for global protein supply chains.
— Justin Webb, CEO and Founder, AgriWebb
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