SKU: 67805536716
planting purple coneflower seeds

planting purple coneflower seeds Echinacea - Purple Coneflower | Mylar Packaged

Sale price$19.29 Regular price$21.43
Save 10%

Pay in installments of $5.36 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 13 - Oct 18

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

planting purple coneflower seeds Echinacea - Purple Coneflower | Mylar PackagedPacked in Resealable Long Life Mylar Moisture Proof Packets 10+ Year Survival Seed Viability Category: Herb Type: Echinacea Variety: Purple Coneflower Family: Asteraceae Botanical Name: Echinacea purpurea Hardiness Zones: 3,4,5,6,7,8,9 Growing Difficulty: 3 Soil PH: 6. 0 to 7. 0 Fertilizer Requirements: None Soil Type: Normal, Sandy or Clay Germination (days): 10 to 30 Soil Temp for Germination: 65 70F Lighting Conditions: FULL SUN Days to Maturity:

Packed in Resealable Long Life Mylar
Moisture Proof Packets
10+ Year Survival Seed Viability

  • Category: Herb
  • Type: Echinacea
  • Variety: Purple Coneflower
  • Family: Asteraceae
  • Botanical Name: Echinacea purpurea
  • Hardiness Zones: 3,4,5,6,7,8,9
  • Growing Difficulty:  3
  • Soil PH:  6.0 to 7.0
  • Fertilizer Requirements:  None
  • Soil Type: Normal, Sandy or Clay
  • Germination (days): 10 to 30
  • Soil Temp for Germination: 65-70°F
  • Lighting Conditions: FULL SUN
  • Days to Maturity:  90 - 120
  • Planting Depth:  1/8-1/4”
  • Distance Apart (in row):  12-24"
  • Row Spacing: 12-24"

Sowing Instructions

DIRECT SOW IN FULL SUN IN FALL (Cold Stratification Required)

Starting Indoors

START INDOORS 6-8 WEEKS BEFORE LAST FROST (Cold Stratification Required)

Growing Tips

Echinacea seeds require cold stratification prior to germination. This can be done one of two ways (depending on your planting method).

When Planting Outdoors, plant the echinacea seeds in the fall to allow the seeds to overwinter. Seeds will germinate when soil temperatures reach around 65-70°F. Germination should occur within a couple of weeks but could take up to 4 weeks to fully sprout.

When Planting Indoors, soak the seeds in water overnight then place the damp seeds in a sealed container in the refrigerator for 8 to 10 weeks. Plant in your seed trays and warm the soil to 65°. Seeds should germinate within 10 to 14 days.

These plants are drought-tolerant and do not like soggy feet, so make sure to only water when the surface of the soil is dry to the touch. They do best in a sandy, well-draining soil.

Medicinal Uses

Echinacea has been used throughout history as an immune-stimulating herb. Medicinally, the leaves, root, and flowers can be used.

People have used Echinacea as a natural painkiller for thousands of years. It is also thought to alleviate stomach aches, headaches, sore throats, prevent the common cold, flu, and many respiratory ailments. In addition, echinacea may help to fight rheumatoid arthritis, ulcers, Crohn’s disease, malaria, herpes, typhoid, vaginal yeast, and many other ailments.

When used as a tea, echinacea is believed to reduce anxiety and stress. It may also help to control blood sugar levels and is used in many diabetic diets.

The list of health benefits from the echinacea plant is ongoing, we recommend harvesting and storing the entire plant for future uses as the need arises.

Harvesting Crops

Echinacea flowers and leaves can be harvested in as little as three months but may not reach full maturity until 4 months of solid growth.

If you plan to use the roots in medicinal recipes, most commercial productions wait until the third year of growth to harvest the entire root ball for use. This allows the roots to develop to absolute maturity. Although, the rest of the plant can be selectively harvested until this point.

Harvesting Seed

Save some of your strongest echinacea plants to use as seed stock in the first year. These will provide the best prospects for germinating from seed.

When the flowers have reached full maturity (around 3-4 months), the petals will begin to die off and turn brown. Once the seed heads begin to die and turn a dark brown color, your seeds are ready to harvest.

Snip the stems just below the seed heads and use a bucket or bowl to collect the seeds as you brush them out of the seed head with your fingers. Echinacea seeds are incredibly small, so be careful when removing them.

Make sure your seeds are completely dry by storing them in a cool, dry area for a couple of weeks before safely storing them for next growing season.

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: 67805536716

Discover Niche Categories That Outsell planting purple coneflower seeds

Top-Converting Item to Boost Your Average Order

4.8 ★★★★★
Based on 17 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
W
Verified Purchase
William P Ross
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
New York, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Lowell, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Lexington, US
★★★★★ 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
S
Verified Purchase
Stergios Papadimitriou
Whiting, US
★★★★★ 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

recommand products