SKU: 3467928972
plant tea fertilizer

plant tea fertilizer Compost Tea Wonder Brew Organic Fertilizer Wallace Organic Wonder 80 Gram (10 80 Gram Tea bags)

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Description

plant tea fertilizer Compost Tea Wonder Brew Organic Fertilizer Wallace Organic Wonder 80 Gram (10 80 Gram Tea bags)Compost Tea, Wonder Brew: Compost tea is an easy to use, all natural organic fertilizer and soil accelerator. In 2019 Steve Marley from Clinton, NY grows a world record 9. 65 pound tomato with the help of WOW Wonder Brew! Each package contains 10 individual compost tea bags and 10 activators. Each 80 gram compost tea bag will make 3 5 gallons of compost tea. The 500 gram tea bag will make 20 25 gallons of compost tea brew! Compost tea can be prepared

Compost Tea, Wonder Brew: Compost tea is an easy-to-use, all-natural organic fertilizer and soil accelerator.  

In 2019 Steve Marley from Clinton, NY grows a world record 9.65 pound tomato with the help of WOW Wonder Brew!

Each package contains 10 individual compost tea bags and 10 activators.  Each 80 gram compost tea bag will make 3 - 5 gallons of compost tea. The 500 gram tea bag will make 20-25 gallons of compost tea brew!  

Compost tea can be prepared for immediate use or brewed in a WOW Wonder Brewer, other compost tea brewer, or pail with an air stone. Packed with a proprietary blend of organic matter and full of healthy soil microbes.   With beneficial microbes present, organic fertilizers can be fully-harnessed and delivered to plants with unmatched efficiency, producing stronger roots with vigorous plants that produce earlier more abundant herbs and vegetables and brilliant flowers!

 The WOW Wonder Brewer 80 gram or 500 gram kits contain the following:

  • 5-10 or 25-50 Gallon BubbleSnake Aerator with air hose
  • 714 or 1110 GPH air pump (120 Volts/1 Amp/60 Hz)
  • 1 bag containing 10 - 80 gram or 10-500 gram  WOW Wonder Brew
  • 1 Clamp
  • 1 WOW logo sticker to display on your bucket

At WOW we do not think of soil as “dirt,” and neither should you!  Healthy soil is “alive” and contains billions of microscopic organisms.   Soil is the most diverse ecosystem on planet earth.  Over time gardeners have unknowingly disrupted the precious balance of the living soil by using harsh non-organic, synthetic fertilizers that are high in salts.  Let WOW Wonder Brew compost tea re-mineralize and improve the biological life of your soil for slow release organic fertilizing.  Great for Vegetables, Flowers, Fruits, and Herbs. Grow Like A Champion With WOW!

Click here to view entire 80 gram label 

Click here to view entire 500 gram label 

World Record Tomato Video

Could giant pumpkins carry the secret to better crop yields ...

Ron on Kelly & Michael

CBS News Ron Wallace Giant Pumpkin

USA Today Ron Wallace Giant Pumpkin

CNN Ron Wallace Giant Pumpkin

Testimonials

 

Key Benefits of WOW Wonder Brew

  • 100% Natural & Organic
  • Contains beneficial microbes, bacteria & fungi
  • Slow release- feeds plants and soil over time
  • Improves plant growth
  • Increases nutrient uptake
  • Will not burn
  • Safe for people and pets
  • Re-mineralizes depleted soils
  • Invigorates soil ecology
  • Helps shield plants roots from disease
  • Returns healthy biological life to soil, improving soil quality

 


How to use WOW Wonder Brew

Quick brew method: Tear open one “activator” packet, add to 3 - 5 gallons of warm water (this helps to wake up the microbes) and stir in. Squeeze one 80 gram nylon compost tea bag several times, add to water and give it a good mix without breaking the tea bag. Tea is then ready to apply!

Tea Brewer: Before use, make sure your compost tea brewer is clean!

For an 80 gram tea bag, use 3 - 5 gallons of non-chlorinated warm water when brewed in a WOW Wonder Brewer, other compost tea brewer or pail with air stone.

Brewing WOW Wonder Brew

For a 500 gram tea bag, use 20-25 gallons of water in a WOW Wonder Brewer, other compost tea brewer, or pail with air stone.

If your water supply contains chlorine, run the brewer for 30 minutes before adding ingredients.

Tear open one “activator” packet and add to water. Squeeze one nylon compost tea bag several times, and add to tea brewer. Turn on brewer and allow to brew up to 48 hours for best results.  After brew has completed and oxygenation has ceased, use within 8 hours. Maintaining water temperature between 60 - 70 degrees during the brewing process is ideal. Clean brewer thoroughly when done.

In the Garden:  Pour Wonder Brew at full strength around the base of each plant.   Apply 2 – 3 cups of brew around the base of each plant. Follow with a thorough watering to work the tea down into the root zone. Apply every 7 – 10 days.

Container Gardening:

1 - 3 gallon container       1 - 2 cups

5 - 7 gallon container       3 - 4 cups

10 - 20 gallon container   5 - 8 cups

25 - 50 gallon container   1/2 gallon - 1 gallon

100 gallon container      2 - 3 gallons

Feeding with WOW Wonder Brew

 Follow with a thorough watering to work the tea down into the root zone. Apply every 7 – 10 days.

WOW Wonder Brew can be diluted at a maximum rate of 1 gallon of tea for every 10 gallons of water.

Hydroponic Systems: Apply Wonder Brew 24 hours before reservoir change. Running Wonder Brew in a hydroponic system for prolonged periods is not recommended.  Add Wonder Brew at the rate of 1 - 2 gallons for every 10 gallons of water, alone or with nutrient solution.  Use Wonder Brew throughout the growing season up to 1 week prior to harvest.

For best results, use in conjunction with WOW Super Starter Paks and WOW Soil and Plant Booster.

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SKU: 3467928972

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Verified Purchase
Amazon Customer
New York, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Chelsea, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Tommy Jonsson
Pawtucket, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Verified Purchase
Moses Kayanda
San Leandro, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Verified Purchase
Gabe Rigall
Grantham, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022

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