SKU: 94084824677
can indoor plant food be used on outdoor plants

can indoor plant food be used on outdoor plants Good Dirt Plant Food | 15 Ounce

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Description

can indoor plant food be used on outdoor plants Good Dirt Plant Food | 15 OunceEasy, efficient and effective Naturally. Good Dirt Plant Food can be used with any plant indoors and out. It contains oil seed extract, a renewable source of plant nutrition which has Boost Molecules (amino acids) known to improve overall plant health! This not only feeds the plant but feeds the living beneficial microorganisms (PlantBiotics) in the soil to keep that living soil living! Use with Good Dirt PlantBiotics for best results. Highlights:

Easy, efficient and effective… Naturally. Good Dirt Plant Food can be used with any plant — indoors and out. It contains oil-seed extract, a renewable source of plant nutrition which has “Boost Molecules” (amino acids) known to improve overall plant health! This not only feeds the plant but feeds the living beneficial microorganisms (PlantBiotics®) in the soil to keep that “living soil” living! Use with Good Dirt PlantBiotics® for best results.

Highlights: 

  • Ideal for indoor and outdoor plants
  • Concentrated formula blends evenly with water and makes up to 60 gallons of feeding solution
  • Contains oilseed extract known to improve overall plant health
  • Pathogen-Free, Heavy metals free, GMO-free, Chemical-free
  • Made from renewable plant resources and sustainably produced in a zero-waste manufacturing facility in the USA

Directions: 

May be applied each time plants are watered; plants will store the nutrients and only use what they need to grow. Make a fresh solution every time you feed.
  • Outdoors: Mix 3 capfuls Good Dirt Plant Food into 1 gallon of water
  • Indoors: Mix 1 capful Good Dirt Plant Food into 1 gallon of water
  • Contains ~60 Capfuls
Good Dirt Plant Food has a five-year shelf life. We recommend making a new solution each time you feed your plants. If you have left over plant food after mixing it with water, it can be stored for up to 48 hours. We recommend using all that you mixed, as it can be fed to your lawn, shrubs, or anything that grows.

    What’s the N-P-K ratio of your Plant Food? 

    The NPK (Nitrogen, Phosphorus, and Potassium) of the Plant Food is 10-4-3. Keep in mind this is a liquid, so it is double the weight of a water soluble plant food. The added benefit from Good Dirt Plant Food is the oilseed extract that contains everything from the seed that naturally provides so much more for the plant health and growth than the NPK.


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    SKU: 94084824677

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    P. H.
    Belleville, US
    ★★★★★ 5
    Masterful biography and history of the birth of the Red Power movement.
    Format: Hardcover
    Kent Blansett has broken much new ground with his masterful biography of the charismatic Richard Oakes. The book is also an astute and insightful account of the birth and rise of the Red Power Movement and the occupation of Alcatraz. Scholarly but written in an accessible style, this book will appeal to all readers.
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    Reviewed in the United States on November 2, 2018
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    Hashi Hanta
    Lake Worth, 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.
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    Reviewed in the United States on February 14, 2019
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    Carol
    Belleville, 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.
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    Reviewed in the United States on November 24, 2019
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    Walter Echo-Hawk, author of THE SEA OF GRASS.
    Charlottesville, 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.
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    Reviewed in the United States on April 1, 2019
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    Par
    Louisville, 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.
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    Reviewed in the United States on December 20, 2024

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