SKU: 88833701428
plant pomegranate from seed

plant pomegranate from seed Parfianka Pomegranate Fruit Tree Self-Fertile LIVE PLANT

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Description

plant pomegranate from seed Parfianka Pomegranate Fruit Tree Self-Fertile LIVE PLANTParfianka Pomegranate Fruit Tree Best Flavor Winner Self Fertile LIVE Fruit Tree Plant Punica granatum 'Parfianka' Listing is for one rooted plant. Plants are grown in 72 cell trays so that they will be rooted but small enough for efficient shipping. Check out my YouTube video "Live Plant Care Guide & Delivery Unboxing for my Customers" for further instructions on what to expect with your live plant delivery and care tips: https: youtu. be BmPw4rKLwDk

Parfianka Pomegranate Fruit Tree- Best Flavor Winner – Self-Fertile LIVE Fruit Tree Plant
Punica granatum 'Parfianka'

Listing is for one rooted plant. Plants are grown in 72 cell trays so that they will be rooted but small enough for efficient shipping.

Check out my YouTube video "Live Plant Care Guide & Delivery Unboxing for my Customers" for further instructions on what to expect with your live plant delivery and care tips: https://youtu.be/BmPw4rKLwDk

The Parfianka pomegranate (Punica granatum) is a highly prized cultivar said to be the best tasting pomegranate variety. It's fruits have a delicious sweet-tart flavor with vibrant red arils, and high juice content. With soft, small seeds, Parfianka is ideal for fresh eating and juicing. This semi-dwarf shrub or small tree, reaching 8-10 feet tall, is highly productive, often yielding large quantities of fruit even in its early years. The harvest period is September through October. It is also more cold-hardy than many other cultivars, usually withstanding temperatures down to 10F. It is best grown in USDA zones 7-10, and has excellent resistance to common pomegranate diseases like root rot.

Parfianka pomegranates prefer full sun, regular watering, and well-drained soil to achieve optimal growth and fruiting. This variety is adaptable to different soil types and performs well with minimal care, making it a great addition to any home garden or orchard. Whether you’re looking for an attractive ornamental plant or a high-quality fruit producer, Parfianka is an excellent choice for gardeners of all levels.

Ideal Growing Conditions
USDA Hardiness Zones: 7-10

Cold Protection: Protect young plants if temperatures drop below 40°F. Mature plants can endure brief periods of cold down to 10°F.

Sun: Full sun is ideal for vigorous growth and abundant fruiting

Soil: While pomegranates thrive in rich, compost-heavy soils, it can grow well in a variety of soils if amended with some compost.

Water: Keep soil moisture consistent. Does not like waterlogged or heavily saturated soils. Easily susceptible to root rot. Once established, they are fairly drought-tolerant.

Fertilizer: Mature trees do well with a few applications of fertilizer a year. Young plants benefit from a granular fertilizer mixed into the planting hole for a good start.

Follow me on social media because I talk a lot about the same seed varieties or plants I sell here in my shop and gardening tips. YouTube, Instagram, TikTok: jerrasgarden.

Shipping 
***I cannot ship this plant to Hawaii due to agricultural restrictions***
Please understand that I only offer USPS flat rate priority mail options for plants/bulbs/rhizomes. The longer they stay in transit, the greater the risk that it will arrive dead or damaged. I just want to ensure that plants arrive alive/healthy to my customers.

Terms and conditions READ THIS PLEASE: 
- I encourage each gardener to research specifics on how to be successful growing this plant. I also have lots of information on my Instagram and YouTube channel. I started this shop to share my love of certain seed varieties and spread the knowledge of gardening. Please feel free to message me if you cant find information or have additional questions. 

- No returns or refunds. Since there are so many factors that affect propagation and growing success, no refunds or exchanges are allowed once shipped. These are the same seeds and plants I use in my personal garden so I can attest to their viability. Seeds are fresh season to season. 

- Availability of seeds/plants in this shop varies depending on what I have growing that season. With that said, please be advised that seeds/plants are available in limited quantities. Once sold out they may or may not be available again.

*All photos used in my listings were taken by me. They are actual photos of the plants/seeds/veggies/flowers etc... that are sold in this shop.

Shipping Notes
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Exchange/Return Notes
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SKU: 88833701428

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Zygerian99
Waukegan, US
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience. If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference. I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance: The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals). Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning. Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time. And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
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Shannon
Charlottesville, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Belleville, 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.
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Reviewed in the United States on March 15, 2017
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Verified Purchase
Adam
Draper, 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.
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Reviewed in the United States on May 22, 2026
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Amazon Customer
Phoenix, 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!!
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Reviewed in the United States on July 14, 2017

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