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dracaena marginata fungus

dracaena marginata fungus Dracaena Marginata | Tropical Houseplant

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Description

dracaena marginata fungus Dracaena Marginata | Tropical HouseplantHome delivery throughout Belgium. Collection in Leuven possible slim tropical eye catcher lifelong help for all your plant questions With its slender stems and graceful, reddish orange leaf edges, the Dracaena Marginata is a real eye catcher in any interior. This popular houseplant is not only decorative, but also air purifying and easy to care for. Ideal for those with little planting experience who still want to enjoy a tropical accent in their

  • Home delivery throughout Belgium.
  • Collection in Leuven possible
  • slim tropical eye-catcher
  • lifelong help for all your plant questions

With its slender stems and graceful, reddish-orange leaf edges, the Dracaena Marginata is a real eye-catcher in any interior. This popular houseplant is not only decorative, but also air-purifying and easy to care for. Ideal for those with little planting experience who still want to enjoy a tropical accent in their living room. Order your own Dracaena Marginata today from our webshop and give your home an instant stylish upgrade.

How to care for a Dracaena Marginata

Watering Dracaena Marginata

The Dracaena Marginata requires moderate watering; water about once a week and allow the top layer of soil to dry slightly between waterings. Overwatering can cause root rot, so ensure excess water can drain properly through the drainage holes. For more tips, see our blog post on what to do about root rot in your houseplants .

Light for Dracaena Marginata

Dracaena Marginata thrives in a bright spot without direct sunlight. A spot with plenty of indirect sunlight prevents leaf burn and promotes healthy growth. Too little light results in pale or elongated shoots, so avoid dark corners and choose an east- or west-facing window.

Common problems

Yellow leaves

Yellow leaves are often caused by irregular watering or a sudden change in temperature. Check that the soil isn't too wet or too dry and adjust your watering schedule accordingly. Remove old, yellowed leaves to encourage new, healthy growth.

Plant dripping water

If water droplets appear from the leaves (guttation), the humidity in your home is likely too high or the root pressure has increased due to excessive watering. Adjust your watering slightly and ensure adequate ventilation. If the humidity is too high, consider using a dehumidifier or moving to a drier location.

Plagues

Spider mites, scale insects, and thrips can weaken dracaenas and cause discolored patches. Regularly inspect under the leaves and, if necessary, use natural pest control or an insecticidal spray. For a lasting solution, you can also use sticky traps to control fungus gnats.

Roots at the bottom

When roots emerge from the drainage holes, it's time to repot your Dracaena Marginata. Choose a slightly larger pot and use fresh potting soil, for example, from our collection of Pots for Houseplants . Repotting gives the roots more space and encourages further growth.

Brown edges on leaves

Brown edges indicate excessively dry air, excessive sunlight, or excessively hard water. Maintain a humidity of around 50% and avoid direct sunlight. If tap water is hard, use filtered water or rainwater.

Frequently Asked Questions

Is Dracaena Marginata poisonous?

Dracaena Marginata is moderately toxic to pets and children in large doses. Therefore, keep the plant out of reach of curious cats and kittens. Looking for a non-toxic option? Then check out our collection of non-toxic houseplants .

Different types of Dracaena

The Dracaena family offers various varieties, each with its own unique appearance and care needs. Some popular varieties include:

  • Dracaena Fragrans
  • Dracaena Reflexa
  • Dracaena Sanderiana (Lucky Bamboo)
  • Dracaena Deremensis
  • Dracaena Colorama
  • Dracaena Lisa
  • Dracaena Cintho

For a complete range, please visit our dracaenas collection .

Discover other easy-to-care-for houseplants like the ZZ plant , the air-purifying Aglaonema Silver Bay , or the trendy Monstera Minima . Give your interior an instant green boost and order your Dracaena Marginata from De Plantrekkers today!

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William P Ross
Fort Morgan, 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
West Palm Beach, 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
Carnegie, 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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mackster
Draper, 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.
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Reviewed in the United States on May 15, 2018
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Stergios Papadimitriou
Cuba, 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.
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Reviewed in the United States on August 25, 2018

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