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Autonomous fleet of tractors deployed across 255,000 acres of U.S. Sugarcane fields in Florida

American farmers are confronting a shrinking labor pool, rising costs and increasingly erratic weather. To meet those pressures, Autonomous Solutions Inc., U.S. Sugar Corp. and Everglades Equipment Group have rolled out the nation’s largest fully autonomous tractor fleet on South Florida’s 255,000‑acre sugarcane operation. The Mobius platform, already used in heavy‑industry settings, was fitted…

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Key points

  • ASI, U.S. Sugar and Everglades Equipment launched the largest autonomous tractor fleet in U.S. sugarcane farming, covering 255,000 acres.
  • Mobius platform integrates with John Deere tractors, delivering higher accuracy, 24/7 operation and reduced labor constraints.
  • U.S. Sugar will retain and retrain workers for supervisory roles and plans to expand autonomy to other crops over the next decade.

Early field data show the autonomous tractors delivering more precise land‑preparation than human operators, maintaining productivity through night hours and adverse weather, and eliminating the bottleneck of crew availability. U.S. Sugar has pledged to keep its 3,000 employees, retraining them for supervisory roles that oversee the fleet rather than operate the machinery. The company plans to extend the technology to its full acreage and to other crops such as sweet corn and green beans over the next decade, positioning autonomy as a resilience tool for U.S. agriculture.

Full story from The Robot Report · by Mel Torrie, CEO, ASIOpen source ↗

How autonomous fleets are changing what’s possible in American agriculture

The Robot Report · 13 September 2026

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This text was published by The Robot Report and written by Mel Torrie, CEO, ASI. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Autonomous Solutions Inc.U.S. Sugar Corp.Everglades Equipment GroupJohn DeereMobiusMel Torrie

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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