SKU: 6274070022
seed planter tray

seed planter tray Seed Starter Trays

Sale price$26.88 Regular price$29.87
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Description

seed planter tray Seed Starter TraysInsert Tray for use with 2. 5" Seed Starting Pots Features: These 32 Cell Trays are made with EXTRA strength BPA free, food safe plastic and are the most durable propagation trays on the market. These trays are NOT flimsy or brittle. They can easily handle anything you put in them Backed by 1 Year Warranty to be free of breakage or warping Each cell measures 2 square by 2 deep. Outer Dimensions: 21 1 4 x 11 1 4 x 2 Deep This tray is compatible with

Insert Tray for use with 2.5" Seed Starting Pots

Features:

  • These 32 Cell Trays are made with EXTRA strength BPA-free, food-safe plastic and are the most durable propagation trays on the market.  
  • These trays are NOT flimsy or brittle. They can easily handle anything you put in them
  • Backed by 1 Year Warranty to be free of breakage or warping
  • Each cell measures 2” square by 2” deep. Outer Dimensions: 21 1/4” x 11 1/4” x 2” Deep
  • This tray is compatible with 2"x2" rockwool cubes found with many grow towers
  • This tray works as a holder for our 2.5" seed starting pots

Description:

Our 32 Cell Seed Trays are exclusively designed and sold by Bootstrap Farmer. 

These seedling trays are built to fit 2x2 Rockwool cubes found with many grow tower kits.  These are meant to be reused over and over, season after season. They are perfect for vegetables, herbs, flowers, and germination of seedlings in soil or hydroponics for hobby or commercial growers.

These will fit into any standard 1020 flats, including our super durable propagation trays, sold exclusively by Bootstrap Farmer.  Cells are a bit wider on the top and slightly tapers to the bottom, with drainage holes. The drainage holes allow for roots to continue to grow through the bottom of the cell tray if desired.  They are large enough for roots to find their way, but also small enough to hold moistened vermiculite in place.

Shipping Notes
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 6274070022

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R. Cote
Massapequa, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Pawtucket, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Houston, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Houston, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Port Orchard, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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