€4,750.00Original price was: €4,750.00.€4,500.00Current price is: €4,500.00. "inc. Vat"
The Castelgarden XDC150e lawn tractor provides the perfect blend of power and pleasure. This rugged riding lawn mower is driven by a strong STIGA 30Ah (Li-Ion) battery pack, developed and tested by STIGA in Italy. The result? Lawn coverage up to 3000sqm and a running time up to 45 minutes on just one charge – without engine noise, fumes and hassle of a petrol riding lawn mower. It also comes with a spacious 240l grass collector, plus a mulching plug and blades if you’d prefer to spread fine cuttings over your lawn.
Quick, wire-free setup Connect and control your robotic mower using the Navimow app. With just a few taps, you can set virtual boundaries, mark off-limit islands, and draw safe channels to connect multiple zones. EFLS 2.0, Vision-enhanced, fits all gardens. EFLS 2.0: an AI-enhanced GNSS location system provides stable centimetre-level positioning to handle an incredibly diverse range of lawn layouts. When the satellite signal is weak, secure Navimow within boundary with vision, and provide extra safety. Effortless mapping all the way .With the all-new AI-powered Assist Mapping feature, Navimow identifies the edges of your lawn during mapping and automatically navigates and maps the entire work area. Efficient, Flawless Lawn Maintenance. Mows your lawn exactly how you like it, intelligently recharges, and keeps mowing until the job is done. Changes mowing direction after 100% coverage, so your lawn stays healthy and looks fresh. Ride-on, Right on. Sets ideal boundaries to fit each part of your lawn and cuts right to the edge with a stunning level of precision. Anytime, anywhere, mow it your way. Create a schedule for each area and let Navimow do the rest, even when you’re not around. Smart object avoidance. VisionFence enables Navimow to proactively and smoothly avoid objects. A fish-eye camera with a 140-degree field-of-view provides a wide detection range, and built-in AI algorithms distinguish grass from other common objects.
