SKU: 20033865869
little succulent tree

little succulent tree Crassula Tetragona' Miniature Pine Tree - Shop Online

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little succulent tree Crassula Tetragona' Miniature Pine Tree - Shop OnlineGet ready to have the incredible Miniature Pine Tree, also known as Crassula tetragona, a vibrant member of the Crassula genus! Just take a look at its needle like leaves and shrubby appearance that earned it the nickname Miniature Pine Tree succulent. But hold up despite its nickname, this isn't actually a pine tree at all; it's a succulent! Hailing all the way from southern Africa, this unique looking dwarf pine tree is truly one of a kind. Bonsai

Get ready to have the incredible Miniature Pine Tree, also known as Crassula tetragona, a vibrant member of the Crassula genus! Just take a look at its needle-like leaves and shrubby appearance that earned it the nickname Miniature Pine Tree succulent. But hold up - despite its nickname, this isn't actually a pine tree at all; it's a succulent! 

Hailing all the way from southern Africa, this unique-looking dwarf pine tree is truly one-of-a-kind. Bonsai enthusiasts cannot resist its charm and it's not hard to see why! The leaves of the Crassula tetragona plant are tiny plants sparsely branched with a woody, brown bark that adds an extra touch of pine tree-like illusion. 

At full maturity, this fabulous Crassula tetragona can reach just over 3 feet tall. When blooming it produces creamy white star-shaped flowers that burst forth from dense clusters at the tips of their branches during late spring or early summer, creating an enchanting floral display that will leave you breathless. 

The Crassula teteragona stems grow into mini pine tree succulents and shed their lower leaves but fear not - pruning and transplanting are no problem for this adaptable wonder! Crassula tetragona propagation can be done from leaf cuttings and stem cuttings, but leaf propagation is the easiest and most effective way to propagate this mini pine tree. 

Watering Needs 

These dwarf pine tree succulents are low-maintenance succulent plants that require minimal watering. It is best to water this Crassula tetragona when the soil is completely dry. Overwatering can cause the roots to rot, so it is essential to allow the soil to dry out before watering again. During the summer months, succulents may require more frequent watering, but it is important to avoid waterlogging the soil. 

If you live in a humid climate, you should water your succulent less frequently, even once every 10 days. To determine when to water your mini pine tree, pay close attention to how it looks; shriveling is a sign that you must water this beauty. Just make sure not to overdo it on baby plants and let them sit in standing water or else they could develop root rot. 

Light Requirements 

The Crassula tetragona requires bright, indirect sunlight to thrive. If you are growing plants indoors, it's best to place this miniature pine tree near a south-facing window that receives plenty of natural light but avoids exposing it to direct sunlight for extended periods. Direct sunlight can scorch the leaves and cause damage to the baby succulent.  

 If you notice that your Crassula is not getting enough bright light, it may start to stretch and become leggy. This is a sign that it is not receiving enough light and is reaching out in search of more light to thrive. To prevent this, move it to a brighter location or supplement its light with a grow light. 

It's critical to remember that during a heatwave or periods of extreme heat, your dwarf succulent trees could still sustain sun damage or get sunburned. You can protect these succulents in this situation by moving them indoors or to a shaded area. 

Optimal Soil & Fertilizer Needs 

The dwarf pine tree plant prefers well-drained potting soil that is rich in nutrients. A good potting mix for soil Crassula dwarf pine tree should include a combination of coarse sand, perlite, and peat moss. Planet Desert specializes in succulents and has specialized succulent potting soil that includes an organic substrate with mycorrhizae to help with the growth of a healthy root system to help your succulents thrive. It is important to avoid using heavy, clay soils that retain too much moisture. 

When it comes to fertilizing the Crassula tetragona, it is best to use a balanced, natural fertilizer during the growing season. Fertilize the miniature pine trees once a year during the spring with an equal mix of NPK (5-10-5). Avoid over-fertilizing it, as this can cause salt buildup in the soil and lead to root damage. Overall, using well-draining soil and providing the well propagate Crassula tetragona plant with regular, balanced fertilization can help ensure its health and growth. 

Hardiness Zones & More

The Crassula tetragona mini pine tree is hardy in USDA zones 10-11. This means that it can only tolerate temperatures down to around 30-35°F, and is best suited for warm, tropical climates. If you live in a colder climate, it is best to keep these dwarf pine trees indoors during the winter months or provide them with some protection from the cold. 

In terms of humidity, the dwarf pine tree succulent prefers a dry environment with low to moderate humidity levels. It can tolerate some humidity, but it is important to avoid overwatering the plant or exposing it to excessively humid conditions. If you live in a humid environment, it is best to provide good airflow around this miniature pine tree to prevent moisture buildup on the leaves and stems. 

Don't miss out on this opportunity to add something truly exceptional to your garden. Order your very own Crassula tetragona - miniature pine trees today! 

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Zygerian99
Phoenix, 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
Port Orchard, 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
Pawtucket, 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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Adam
Massapequa, 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
Alexandria, 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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