SKU: 13601487079

TLMA-02 2Pcs for Mammotion Yuka Mini Robotic Lawn Mower Cold-Rolled Steel Anti-Slip Spikes

Sale price$125.42 Regular price$139.36
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Ships within 48 hours · Estimated delivery Aug 9 - Aug 14

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Description

TLMA-02 2Pcs for Mammotion Yuka Mini Robotic Lawn Mower Cold-Rolled Steel Anti-Slip SpikesCompatible DesignSpecifically engineered for Mammotion Yuka Mini robotic lawn mowers, ensuring a perfect fit and optimal performance. Enhanced TractionAnti slip spikes provide superior grip, allowing the robot mower to navigate various terrains with ease. Durable ConstructionMade from cold rolled steel with an electroplated surface finish for excellent corrosion resistance and longevity. Precise DimensionsEach spike measures 210mm x 2. 0mm, offering

  • 【Compatible Design】Specifically engineered for Mammotion Yuka Mini robotic lawn mowers, ensuring a perfect fit and optimal performance.
  • 【Enhanced Traction】Anti-slip spikes provide superior grip, allowing the robot mower to navigate various terrains with ease.
  • 【Durable Construction】Made from cold-rolled steel with an electroplated surface finish for excellent corrosion resistance and longevity.
  • 【Precise Dimensions】Each spike measures 210mm x 2.0mm, offering the ideal balance between effectiveness and lawn protection.
  • 【Easy Installation】Designed for straightforward attachment for Mammotion Yuka Mini, featuring a self-centering mechanism for proper alignment.

Specifications:

  • Material: Cold-rolled steel with electroplated surface
  • Dimensions: 210mm x 2.0mm
  • Compatibility: for Mammotion Yuka Mini self-centring lawn mower

Package included

  • 2 x Anti-Slip Spikes
  • 8 x M4x12mm Countersunk Hex Screws
  • 1 x English Manual

Specifications

Brand N/A
Color As Shown
Packaging Type Simple PP Bag
Plug Type (For Supply) N/A
User Manual (Language) English
Gross Weight 0.484kg
Volume Weight 0.162kg
Package Length 23.600cm
Package Width 23.600cm
Package Height 1.300cm
Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 13601487079

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Abdul
Whiting, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
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Y. Banga
Waukegan, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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William L. Crupi
Lowell, US
★★★★★ 5
Great helpful book.
Format: Kindle
This book is simple to follow, Greg gets back to you in a very timely manner. I have bought other books from Greg and they are always very helpful.
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Reviewed in the United States on February 21, 2025
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jeff s kittrell
Natrona Heights, US
★★★★★ 5
Love it - revolutionary approach to teaching, presenting complex concepts
Format: Paperback
This book is a game-changer for neural networks and AI enthusiasts. It takes a revolutionary approach to teaching, presenting complex concepts in a simple and engaging manner. The book is filled with colorful diagrams and illustrations that make learning accessible and enjoyable. I’ve read several other books, but this one stands out. It’s not a beginner’s guide, but once you grasp the early concepts, it takes you to a whole new level of understanding. I will give it 10 stars if I could.
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Reviewed in the United States on June 18, 2025
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Amazon User
Lowell, US
★★★★★ 5
Great book to understand Neural Networks!
Format: Paperback
Loved the book and I highly recommend. It was thorough and very easy to understand.
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Reviewed in the United States on December 1, 2025

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