SKU: 9995014964
organic nitrogen fertilizer liquid

organic nitrogen fertilizer liquid GS Plant Foods Hi-Nitrogen Kelp-Humic Blend 32-0-0

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Description

organic nitrogen fertilizer liquid GS Plant Foods Hi-Nitrogen Kelp-Humic Blend 32-0-0What is Hi Nitrogen Kelp Humic Blend 32 0 0? GS Plant Foods Hi Nitrogen Kelp Humic Blend 32 0 0 is a premium, professional grade liquid fertilizer specifically designed to correct nitrogen deficiencies and promote rapid lawn greening. Unlike standard synthetic fertilizers, this eco friendly formula combines three forms of immediate release nitrogen with organic kelp extract and humic acid. This unique blend supports both instant plant growth and long

What is Hi-Nitrogen Kelp-Humic Blend 32-0-0?

GS Plant Foods Hi-Nitrogen Kelp-Humic Blend 32-0-0 is a premium, professional-grade liquid fertilizer specifically designed to correct nitrogen deficiencies and promote rapid lawn greening. Unlike standard synthetic fertilizers, this eco-friendly formula combines three forms of immediate-release nitrogen with organic kelp extract and humic acid. This unique blend supports both instant plant growth and long-term soil health, making it the ideal high-nitrogen fertilizer for all grass types, vegetable gardens, and hydroponic systems.

Key Ingredients & Active Properties

  • 32% Nitrogen (Three Forms): Provides highly soluble, easily absorbed nitrogen to fuel rapid leaf growth, resulting in dense, vibrant turf and foliage.

  • Organic Kelp: Delivers essential micronutrients, botanical extracts, and enzymes that enhance root vigor and increase plant resistance to environmental stress.

  • Humic Acid: Acts as a soil conditioner to improve soil structure, increase beneficial microbial activity, and unlock trapped nutrients for better root absorption.

Primary Benefits of Our 32-0-0 Liquid Fertilizer

  • Rapid Green-Up & Lawn Recovery: Visibly transforms dull, thinning, or yellowing grass into vibrant, healthy turf within just 3 to 7 days.

  • Enhanced Nutrient Efficiency: The synergistic combination of kelp and humic acid maximizes nitrogen uptake, significantly reducing fertilizer waste and preventing soil depletion.

  • Eco-Safe & Non-Toxic Formulation: Crafted with biodegradable, organic components that minimize environmental runoff, safely protecting local waterways.

  • No-Burn Guarantee: The perfectly balanced liquid formula ensures completely safe application with zero risk of root or leaf scorch when used according to package instructions.

  • Versatile Plant Application: Safe and highly effective for all lawn varieties (including Bermuda, Kentucky Bluegrass, and St. Augustine), as well as vegetables, flower beds, trees, indoor ornamentals, and advanced hydroponic setups.

Application Guide & Best Practices

  • Coverage Area: 1 quart of concentrate effectively treats upwards of 3,000 square feet of lawn or garden space.

  • Application Method: Dilute according to package instructions. Apply evenly across the target area using a standard hose-end sprayer or pump sprayer for optimal coverage.

  • Optimal Timing: Apply during the cooler hours of the day (early morning or late evening) to maximize foliar absorption and prevent rapid liquid evaporation.

  • Post-Application: Lightly irrigate the treated area immediately after spraying to water the vital nutrients directly into the root zone and prevent surface runoff.

  • Product Compatibility: Can be seamlessly tank-mixed with other GS Plant Foods products—such as Root Ruckus, Liquid Kelp, and Cal-Mag Extreme—to further amplify plant nutrient uptake.

Frequently Asked Questions

What is the GS Plant Foods Hi-Nitrogen 32-0-0 Blend used for?

It is a high-performance liquid fertilizer used to quickly reverse nitrogen deficiencies, stimulate rapid green growth, and improve overall soil biology through the addition of kelp and humic acid.

Is Hi-Nitrogen Kelp-Humic Blend safe for all plants?

Yes. It is a non-toxic, biodegradable formula that is completely safe for lawns, vegetable gardens, floral beds, trees, and indoor ornamentals.

Can this fertilizer be used in hydroponic systems?

Yes. Because it is highly soluble, this blend is excellent for both hydroponic systems and foliar spray applications, in addition to traditional soil drenching.

How quickly does Hi-Nitrogen 32-0-0 work?

Users typically see visible greening, thicker grass, and stronger plant growth within 3 to 7 days of application.

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SKU: 9995014964

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Zygerian99
Lexington, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Whiting, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Draper, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
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Reviewed in the United States on March 15, 2017
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Adam
Fort Morgan, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Pawtucket, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017

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