Pay in installments of $6.26 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Sep 15 - Sep 20
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
site pro pre emergent herbicide 16-4-8 Fertilizer + Pre-Emergent HerbicidePre emergent herbicide, when applied at the right times of year, will control weed populations before you see them. They do this by inhibiting seeds from forming roots, thus killing them as they germinate. Eradicating weeds when they germinate is the most efficient way to control weed populations is lawns, flower beds, and even gravel driveways and walkways. Its time efficient and cost effective, saving you months of combating weeds by mowing, weed
Pre-emergent herbicide, when applied at the right times of year, will control weed populations before you see them. They do this by inhibiting seeds from forming roots, thus killing them as they germinate.
Eradicating weeds when they germinate is the most efficient way to control weed populations is lawns, flower beds, and even gravel driveways and walkways. It’s time-efficient and cost-effective, saving you months of combating weeds by mowing, weed whacking, hand pulling, digging, and from using costlier products to spray out weeds.
- 25 lb. bag covers up to 4,000 sq. ft.
- 50 lb. bag covers up to 8,000 sq. ft.
- Contains 16-4-8 + Iron plus Barricade pre-emergent herbicide
- This pre-emergent contains a high amount of Nitrogen, so review the "when not to apply" exceptions below for your type of lawn.
Apply only at the recommended rate.
Use our yellow walk-behind spreader to distribute this granular product.
When to apply pre-emergent herbicide:
- Apply 16-4-8 with Barricade to established Tall Fescue lawns in late winter and early spring to feed and prevent weeds. If you've already fertilized your Tall Fescue with nitrogen, then choose 0-0-7 with pre-emergent because it doesn't contain nitrogen.
- Apply 16-4-8 with Barricade to established Bermuda and Zoysia lawns in spring during "green up" to feed and prevent weeds, usually from mid to late April.
- Apply in the morning before temperatures rise above 80 degrees; do not apply during the heat of the day.
- Apply it after one full growing season when your lawn in fully rooted in and you can no longer pull up areas of the sod, after you’ve mowed it at least three times, and after you can no longer see the seams.
When NOT to apply pre-emergent herbicide:
- When seeding new lawns: Do not apply this product or any pre-emergent herbicide if you're planning on reseeding your lawn because it will inhibit germination of that seed too. If you have applied pre-emergent, wait 3-4 months before planting seeds, depending on climate conditions.
-
When laying new sod: Do not apply pre-emergent when laying sod because it will inhibit root formation if applied too soon. Likewise, do not apply pre-emergent before laying new sod - if you have applied pre-emergent, wait 3-4 months (depending on climate conditions) before laying new sod.
- Don't apply 16-4-8 with Barricade to Tall Fescue in late spring or summer; apply it only during cool months; due to high Nitrogen, don't apply to Tall Fescue during warm months.
- Do not apply to Centipede due to the high nitrogen; choose 0-0-7 with pre-emergent instead
- Don't apply 16-4-8 with Barricade to warm-season lawns like Bermuda, Zoysia, and St. Augustine in fall when going dormant or in winter or spring before green up; due to high Nitrogen apply it only when these lawns are actively growing in late spring. Instead, apply 0-0-7 with pre-emergent in fall and winter.
-
Don't apply too soon: If you laid warm season sod in autumn, chances are it will need one full growing season (summer) to root in and fill in the seams, thus skipping the winter and spring applications. If you laid sod in the autumn, here is a general application timetable:
- Zoysia - Safe to apply after Zoysia sod is 12 months old
- St. Augustine - Safe to apply after St. Augustine sod is 12 months old
-
Centipede - Due to high nitrogen, not safe for Centipede at all
- Bermuda - Safe to apply after *Bermuda sod is 6 months old
- Tall Fescue - Safe to apply after Tall Fescue is 4 months old
*TifTuf Bermudagrass is the quickest sod to establish and beats expectations for filling in the seams. If you lay the TifTuf Bermudagrass variety late summer and it’s fully rooted in and no seams are visible, it’s safe to apply the winter application of pre-emergent herbicide.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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]
- Please click here for more details>>> Return & Exchange Policy
4.3 ★★★★★
Based on 21 reviews
Sort
Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
★★★★★ 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper.
As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture.
So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money.
The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence.
There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions.
The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work.
They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively.
There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning.
I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 25, 2018