SKU: 48671150900
10 10 10 plant fertilizer

10 10 10 plant fertilizer KALIX Grow 30-10-10 + Chelated Micronutrients 25 lb

Sale price$25.95 Regular price$28.83
Save 10%

Pay in installments of $7.21 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Jul 19 - Jul 24

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

10 10 10 plant fertilizer KALIX Grow 30-10-10 + Chelated Micronutrients 25 lbLimited Time Checkout Savings Sale price: $39. 95. Applied automatically at checkout through June 30, 2026. Need bulk pricing for commercial or volume orders? Contact KALIX CPN at Sales@kalixcpn. com or +1(541)858. 3333. KALIX 30 10 10 is a fully water soluble high nitrogen fertilizer designed for growers who need stronger nitrogen support while still supplying Phosphorus and Potassium in the same application. With a 30 10 10 N P K analysis, this

Limited-Time Checkout Savings

Sale price: $39.95. Applied automatically at checkout through June 30, 2026.

Need bulk pricing for commercial or volume orders? Contact KALIX CPN at [email protected] or +1(541)858.3333.

KALIX 30-10-10 is a fully water soluble high nitrogen fertilizer designed for growers who need stronger nitrogen support while still supplying Phosphorus and Potassium in the same application. With a 30-10-10 N-P-K analysis, this formula is built for soil feeding, foliar applications, fertigation programs, landscapes, gardens, trees, turf, greenhouse crops, and commercial growing operations where nitrogen demand is higher.

This is the green-growth blend. When plants are pushing foliage, building canopy, recovering from stress, or needing a stronger nitrogen-forward feed, KALIX 30-10-10 gives growers a clean, soluble option that fits into real-world production.

High Nitrogen 30-10-10 Plant Nutrition

KALIX 30-10-10 supplies a nitrogen-forward ratio with supplemental Phosphorus and Potassium to support general crop nutrition. This makes it a useful option when plants need more nitrogen than a balanced 20-20-20 program provides.

Guaranteed Analysis:

30% Total Nitrogen
10% Available Phosphate
10% Soluble Potash

This high nitrogen analysis makes KALIX 30-10-10 a strong choice for feeding programs focused on foliage, canopy development, turf response, vegetative growth, and general plant vigor where nitrogen is the main nutrient priority.

Built for Clean Mixing and Consistent Delivery

KALIX 30-10-10 is fully water soluble and designed to dissolve cleanly in water for use in foliar sprays, soil drenches, fertigation systems, and irrigation-based feeding programs. Clean mixing matters because growers do not need fertilizer residue creating unnecessary problems in sprayers, tanks, lines, or injectors.

Fully water soluble 30-10-10 fertilizer
High nitrogen N-P-K formula for broad crop use
Clean mixing for sprayers, tanks, and fertigation setups
Suitable for foliar, soil drench, and irrigation applications
Designed for gardens, greenhouses, landscapes, turf, trees, and crops

When the product dissolves cleanly, the application becomes more predictable. That is the difference between feeding with confidence and guessing your way through the season.

Designed for Nitrogen-Forward Crop Use

KALIX 30-10-10 is a flexible high nitrogen fertilizer that can be used across a wide range of crops and growing environments. It fits well into programs where growers want stronger nitrogen input without switching to a single-nutrient fertilizer.

Common uses include:

Vegetable gardens
Leafy greens and herbs
Fruit trees and vines during early-season growth
Turf and lawn applications
Greenhouse crops
Nursery plants
Ornamentals and landscape plants
Houseplants and container plants
Field crops and specialty agriculture

This versatility makes it a practical choice for growers, gardeners, landscapers, nurseries, farms, and commercial operators who need a dependable high nitrogen fertilizer in a clean water soluble form.

Application Flexibility

KALIX 30-10-10 can be applied through multiple feeding methods depending on crop type, plant size, growth stage, irrigation method, and production goals.

Application methods include:

Fertigation and drip irrigation
Foliar spray
Soil drench
Direct irrigation feed
Greenhouse and nursery tank mixes
Field and landscape applications
Turf and lawn feeding programs

Always test compatibility before combining with other fertilizers, pesticides, or additives in the same tank. For best results, mix thoroughly and follow appropriate application rates for your crop, growth stage, and system.

General Application Guidelines

Use rates will vary depending on crop type, irrigation method, plant size, environmental conditions, and feeding frequency. The following are general starting points:

Foliar applications: 2–4 lb per 100 gallons of water
Constant feeding programs: 4–12 oz per 100 gallons of water
Field crops: 3–10 lb per acre
Fruit and nut trees: 5–20 lb per acre early in the season
Soil drench or irrigation feeding: adjust based on crop demand, water volume, and desired nutrient strength

For sensitive crops, young plants, or new feeding programs, start at the lower end of the range and observe plant response before increasing concentration. High nitrogen fertilizers are useful tools, but smart growers still read the crop before they lean on the throttle.

Built for Growers Who Need Strong Nitrogen Support

Some crops and growth stages call for a balanced feed. Others need more nitrogen. KALIX 30-10-10 gives growers a clean, concentrated way to bring nitrogen forward while still delivering Phosphorus and Potassium in the same application.

It is useful when you need:

Higher nitrogen support than a balanced fertilizer
A clean water soluble fertilizer
Flexible use across multiple crops
A formula suitable for foliar, drench, and fertigation applications
A dependable 25 lb size for ongoing production
A practical option for turf, trees, gardens, greenhouse crops, and commercial use

From lawns and landscapes to gardens, greenhouses, nurseries, farms, and grow rooms, KALIX 30-10-10 gives growers a reliable way to feed nitrogen-forward without overcomplicating the program.

Available Size

25 lb bag

Bulk Pricing and Commercial Orders

Bulk pricing is available for larger orders, commercial operations, farms, greenhouses, nurseries, landscapers, turf managers, and high-volume buyers.

For bulk pricing or custom quotes, contact:

[email protected]

+1(541)858.3333

The Bottom Line

KALIX 30-10-10 is a clean, fully water soluble high nitrogen fertilizer built for growers who want stronger nitrogen support with flexible application across crops, gardens, turf, trees, greenhouses, and commercial production.

Nitrogen-forward feeding. Clean mixing. Practical application.

That is why 30-10-10 belongs in the greenhouse, garden shed, landscape trailer, nursery, farm supply stack, and grow room.

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: 48671150900

Discover Niche Categories That Outsell 10 10 10 plant fertilizer

Top-Converting Item to Boost Your Average Order

4.8 ★★★★★
Based on 21 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
H
Verified Purchase
Hashi Hanta
Pawtucket, US
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
C
Verified Purchase
Carol
Cuba, US
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people. THANK YOU Kent for writing this book. We purchased about 12 total.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 24, 2019
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
Lexington, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 1, 2019
P
Verified Purchase
Par
San Leandro, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Draper, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

recommand products