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monstera adansonii archipelago variegata

monstera adansonii archipelago variegata Monstera adansonii archipelago ghost – Green Mirrors

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Description

monstera adansonii archipelago variegata Monstera adansonii archipelago ghost – Green MirrorsPlant Species: Monstera adansonii Plant Genus: Monstera Plant Family: Araceae Native Plant Region: Central and South America, West Indies Soil Drainage: Well draining soil, recommended substrate mix composed of coconut coir, perlite, vermiculite, sphagnum moss, pumice Soil pH: Acidic Fertilizers: Monstera adansonii requires a significant mineral input in its substrate, thus we recommend using a bio type fertilizer (we use the BioBizz brand for the

Plant Species: Monstera adansonii

Plant Genus: Monstera

Plant Family: Araceae Native

Plant Region: Central and South America, West Indies

Soil Drainage: Well-draining soil, recommended substrate mix composed of coconut coir, perlite, vermiculite, sphagnum moss, pumice

Soil pH: Acidic

Fertilizers: Monstera adansonii requires a significant mineral input in its substrate, thus we recommend using a bio-type fertilizer (we use the BioBizz brand for the plants we cultivate) from the beginning of March until the end of November.

Air Humidity: Happiest at 70% - 75% humidity, but it can also thrive in an environment with lower humidity, down to 40%.

Temperature: 18-29 degrees Celsius (65-75 degrees Fahrenheit)

Light: Indirect bright light

Pot Height Including Plant:
Size M: 20-25cm (7.9-9.8 inches)
Size S: 15-17cm (5.9-6.7 inches)

Pot Diameter: 
9X9cm 



Monstera adansonii archipelago ghost is a relatively rare cultivar that displays a "ghost" variegation pattern, similar to Philodendron Florida ghost. This type of variegation is directly influenced by the level of light exposure. New leaves are almost white (they may have a "mint" variegation), and as they mature and are shaded by other new leaves, they gradually turn green.

This cultivar has several advantages over other variegated Monstera adansonii cultivars, making it an easy plant to grow, even for beginners in the world of plants. Some of these advantages include:

Stable variegation without extreme risks: no risk of complete variegation (where leaves lack chlorophyll necessary for photosynthesis, leading to the plant's eventual death) or reversed variegation (where leaves turn entirely green).

Due to its light-dependent variegation, you can play the role of a "mini biologist" and discover how your actions directly influence the plant's growth, development, and aesthetics. For instance, exposing the plant to stronger light (always indirect light for Araceae species) will maintain the variegation, transitioning from white to cream-green as the leaves mature.

Similar to the classic Monstera adansonii, this cultivar is easy to care for. And unlike other variegated cultivars, it has a very good growth rate under optimal conditions: indirect bright light (east-facing windows are the best), humidity of 60% - 70%, and watering when the top two cm of the substrate have dried out.

 

Note: To check substrate humidity, insert your finger into the pot to a depth of 2 cm (0.8 inches). If the substrate feels moist, withhold watering for a day or two; if it feels dry, water it.

 

Note 2: When discussing watering, consider the size of the pot, the amount of substrate, and its aeration. Avoid pouring a liter of water into a pot with a diameter and height of 12 cm (4.7 inches) as it could drown the plant's roots. It's best to remove excess water from the collector tray half an hour after watering.

  • The plant can be mounted on a support pole covered in coconut fiber, allowing aerial roots to attach and resulting in a more vigorous stem and larger leaves. Alternatively, if you prefer the aesthetics of trailing plants, you can let it grow without support, and as the vines lengthen, secure them to walls using special clips.

 

Good luck with your care! And don't forget to give us updates about your plant using the hashtag #greenmirrors and tagging @green.mirrors in your Instagram posts. We promise to share them in our stories!

Tags: Monstera, Monstera adansonii variegated, Araceae, rare plants, unusual plants, decorative leaf plants, trailing plants, air-purifying plants, indoor decorative plants

 

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Amazon Customer
Alexandria, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Waukegan, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
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Tommy Jonsson
San Leandro, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Moses Kayanda
Lake Worth, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Gabe Rigall
Lowell, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
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Reviewed in the United States on February 26, 2022

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