SKU: 6251970155
interlock herbicide

interlock herbicide Specticle FLO Turf Herbicide – Indaziflam Pre-Emergent Weed Control

$24.54 $27.27
Save 10%
No.2 Bestseller on agrium-ks.com >

Pay in installments of $6.82 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 3 - Oct 8

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

interlock herbicide Specticle FLO Turf Herbicide – Indaziflam Pre-Emergent Weed ControlSpecticle FLO Herbicide Specticle FLO Herbicide is a professional grade selective pre emergent herbicide formulated with indaziflam for long lasting control of troublesome grassy weeds, annual sedges, annual kyllinga, and broadleaf weeds in labeled warm season turfgrass, landscape ornamentals, hedgerows, hardscapes, and natural areas. As a Group 29 cellulose biosynthesis inhibitor, Specticle FLO controls weeds by reducing seedling emergence before

Specticle FLO Herbicide

Specticle FLO Herbicide is a professional-grade selective pre-emergent herbicide formulated with indaziflam for long-lasting control of troublesome grassy weeds, annual sedges, annual kyllinga, and broadleaf weeds in labeled warm-season turfgrass, landscape ornamentals, hedgerows, hardscapes, and natural areas.

As a Group 29 cellulose biosynthesis inhibitor, Specticle FLO controls weeds by reducing seedling emergence before they become established. It provides extended residual pre-emergence control of key weeds such as crabgrass, goosegrass, annual bluegrass, annual sedges, annual kyllinga, and many broadleaf weeds when activated by rainfall or irrigation.

Features & Benefits

✓ Long-lasting pre-emergent control of many annual grasses, broadleaf weeds, annual sedges, and annual kyllinga

✓ Controls key turf weeds including crabgrass, goosegrass, annual bluegrass, doveweed, annual kyllinga, and many broadleaf weeds

✓ Low-use-rate suspension concentrate formulation for professional applicators

✓ Labeled for established warm-season turf, golf course fairways and roughs, sod farms, sports fields, commercial lawns, residential lawns, parks, and cemeteries

✓ Also labeled for landscape ornamentals, hedgerows, hardscapes, natural areas, and certain non-crop bareground sites

✓ Can be used in single or split application programs to extend residual weed control

✓ Compatible with many labeled herbicide tank-mix partners when compatibility is confirmed before use

Labeled Use Sites

Specticle FLO is labeled for use on established warm-season turfgrass areas including golf course roughs and fairways, sod farms, sports fields, residential and commercial lawns, parks, and cemeteries. It may also be used in landscape ornamentals, hedgerows, hardscapes, managed natural areas on golf courses, roadsides, non-bearing fruit and nut trees in residential plantings, and non-crop areas such as paths, parking lots, curbs, sidewalks, driveways, around buildings, gravel areas, loading ramps, educational facilities, storage yards, vacant lots, fence rows, parks, and hardscapes.

Target Weeds

Specticle FLO provides pre-emergence control or suppression of many weeds including crabgrass, goosegrass, annual bluegrass, annual kyllinga, annual sedges, doveweed, barnyardgrass, foxtails, Italian ryegrass, perennial ryegrass, sandbur, common chickweed, mouse-ear chickweed, white clover, common dandelion, chamberbitter, Florida pusley, henbit, horseweed, kochia, common lambsquarters, lawn burweed, prostrate pigweed, redroot pigweed, common purslane, prostrate spurge, spotted spurge, common ragweed, shepherd’s-purse, annual sowthistle, velvetleaf, yellow woodsorrel, and other labeled weeds.

Application Notes

Apply Specticle FLO according to the product label and only to labeled sites. Specticle FLO must be activated by rainfall or light irrigation before weed germination for best pre-emergent performance. Uniform application is essential for satisfactory weed control. Apply in a minimum of 10 gallons of water per acre, or 1 quart of water per 1,000 square feet.

Do not apply to newly seeded turf, golf course greens, tees, collars, slopes immediately above greens, or weakened turf that requires significant recovery. Do not apply to cool-season turfgrasses or mixtures containing sensitive grasses unless thinning or removal is desired. Specticle FLO may inhibit root development, so observe all seeding, overseeding, sprigging, and sodding intervals on the label.

Product Information

Active Ingredient:
Indaziflam 7.4%

HRAC Group:
Group 29 Herbicide

Chemical Family:
Cellulose Biosynthesis Inhibitor

Formulation:
Suspension Concentrate (SC)

EPA Reg. No.:
101563-207

Signal Word:
Caution

Manufacturer:
Environmental Science U.S., LLC / Envu

Recommended Rotation Partner:
A labeled herbicide with a different mode of action. The label specifically references tank-mix or program use with products such as Ronstar FLO, Revolver, Celsius WG, Tribute Total, glyphosate, glufosinate, Acclaim Extra, and other labeled herbicides where appropriate for the site and weed spectrum.

Recommended Surfactant:
Not required for pre-emergent use. Use only when required by a labeled tank-mix partner and follow the most restrictive label directions.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 6251970155

Discover Niche Categories That Outsell interlock herbicide

Top-Converting Item to Boost Your Average Order

4.6 ★★★★★
Based on 17 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
O
Om S
Lowell, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Draper, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Whiting, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
West Palm Beach, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Carnegie, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

recommand products

Philodendron paloraense
20.53
Philodendron mamei (climbing form) XL | Plants
26.31
4” Philodendron Mamei 'Silver Cloud'
22.19
Philodendron montanum — Ecuagenera USA Corp
29.32
Philodendron Paloraense
21.62