SKU: 10940603465
aglaonema in pon

aglaonema in pon Aglaonema 'Pink Princess'

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Description

aglaonema in pon Aglaonema 'Pink Princess'Aglaonema 'Pink Princess' Aglaonema 'Pink Princess' is a pink leaved Chinese evergreen with a compact, leafy crown and broad oval leaves on fleshy petioles. It grows from short stems at the base, sending up new leaves that gradually fill the plant from the centre outward. The leaf colour ranges from soft pink to deeper rose pink, with green edging, scattered green flecks and lighter vein detail. Generous pink leaf surfaces and a compact crown define

Aglaonema 'Pink Princess'

Aglaonema 'Pink Princess' is a pink-leaved Chinese evergreen with a compact, leafy crown and broad oval leaves on fleshy petioles. It grows from short stems at the base, sending up new leaves that gradually fill the plant from the centre outward.

The leaf colour ranges from soft pink to deeper rose-pink, with green edging, scattered green flecks and lighter vein detail. Generous pink leaf surfaces and a compact crown define the plant.

Aglaonema 'Pink Princess' rose-leaf traits

  • Pink Aglaonema cultivar with a rounded indoor crown
  • Broad oval to lance-shaped leaves with green margins
  • Rose-pink blades with scattered green markings
  • Short-stemmed evergreen growth from a rhizomatous base
  • Colour-focused foliage plant for warm, bright indoor rooms

Pink leaves, crown growth and flowering

Aglaonema 'Pink Princess' is a cultivated Chinese evergreen in the Araceae family. Like other Aglaonema, it produces long-stalked leaves from short stems and can form several growing points as the plant matures.

The genus occurs naturally across warm forest regions from north-eastern India to Papua New Guinea. In indoor cultivation, Aglaonema 'Pink Princess' grows evenly with stable warmth, gentle light and careful watering that keeps roots supplied with both moisture and air.

Small spathe-and-spadix flowers may appear on mature plants. The foliage carries the visible pattern, and flower stalks can be cut at the base when they appear on smaller plants.

Aglaonema 'Pink Princess' care points

  • Light: Place in bright filtered light. The large pink leaf areas appreciate brightness, while direct afternoon sun can leave dry patches.
  • Water: Water once the top 2–4 cm has dried. Keep the watering pattern even, as repeated full drying can crisp the softer pink tissue.
  • Substrate: Use an airy houseplant mix with coco fibre, fine bark, perlite and a small amount of moisture-holding organic matter.
  • Pot choice: Use a drainage pot and a snug root volume. Oversized containers hold too much moisture around slow-growing roots.
  • Temperature: Keep at 18–28 °C. Warm, stable rooms help the pink leaves expand cleanly after shipping or repotting.
  • Humidity: Moderate humidity reduces edge dryness on new leaves. A humidifier raises humidity during winter heating.
  • Feeding: Feed lightly in spring and summer. Use diluted fertiliser and pause when growth slows in the darker months.
  • Repotting: Repot in spring only when the root ball is well filled. Keep the crown at the same planting depth.
  • Cleaning: Wipe leaves with a soft damp cloth. Avoid leaf shine products on colourful Aglaonema foliage.
  • Propagation: Divide mature plants with several rooted crowns and keep divisions warm with evenly light moisture.

Pink tissue and root checks

  • Brown areas on pink tissue: Check for harsh sun, cold water, cold glass contact or a root ball that dried too far.
  • Limp leaves after watering: Inspect the roots before watering again. Damaged roots can leave the plant wilted in wet substrate.
  • Yellow lower leaves: Check whether several leaves are yellowing together; that pattern often points to excess moisture around the roots.
  • Small new growth: Move slightly closer to filtered light and check whether the plant has outgrown its pot.
  • Distorted young leaves: Inspect tightly rolled new growth for thrips, mites or mealybugs.

Pet and child placement

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SKU: 10940603465

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M Arneson
Houston, US
★★★★★ 4
Funny and scary, but with a bit of reassurance
Format: Kindle
Reassuring and disturbing at the same time, this book exposes the flaws and risks of AI, while pointing out the weaknesses that make it incapable of taking over the world. The examples of AI foolishness entertain and startle. AI's missteps and errors and the real harm they cause provide a warning that is easier to absorb when leavened with the humor. So what happens if I end this review with a bit of AI-generated predictive texting? Here goes: This is a story out of India and I am not sure if I can make it to the wrong email address. Please let me know if you have any questions. I look forward to hearing from you.
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Reviewed in the United States on December 1, 2019
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Randy Hayes
Fort Morgan, US
★★★★★ 5
Hilarious and Informative
Format: Kindle
This book was a major hit with me - it had me in hysterics at several points while teaching me a lot about machine learning and neural networks on a deep level.
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Reviewed in the United States on April 5, 2026
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Odysseus at home
Draper, US
★★★★★ 5
An adorable book
Format: Paperback
This is an adorable book. I bought it because I needed to know more about AI, and this exemplar seemed perfect to me. And it was. I had already read several books on AI, dozens in fact, and let's say this is one of the best. First: the tone (the author is very nice); secondly, the drawings (always adding clarity), and thirdly, the scope (it covers all the main topics, including ethical and technological issues). The problem with books on AI is that some authors begin to talk on AI in a very effective manner, but then, before you realize, they start pontificating on all the evils that it brings with it, and the perverse people behind the scene trying to kidnap your soul (or your money). Believe me, I tremble every time I read on AI because I know what possibly is going to happen after the first fifty pages. This is not the case. Janelle Shane goes to the point, shows you the magic, and the limits of this pervasive science, without painting the horror movie some others make you watch. Highly recommended for all those interested in passing a couple of days of good reading on AI topics, learning on them, and enjoying a very entertaining author. Five brilliant stars.
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Reviewed in the United States on October 13, 2023
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Kelson Vibber
Carnegie, US
★★★★★ 5
A fun, accessible introduction to how AI works...and how it sometimes doesn't!
Format: Hardcover
Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep? These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)
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Reviewed in the United States on April 1, 2023
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Tero
Battle Creek, US
★★★★★ 4
If you want a book on the details of AI without math and statistics, this is it
Format: Paperback
I had this book a year or two back and then sold a lot of books as they piled up. After that I read a good number of books on AI. Of those, Ethan Mollick's book Co-Intelligence is best for the user end. But then there was still the issue of how do they do it? If you want to understand the process how AI works, there are a few books like this. Melanie Mitchell tends to focus on pictures. When you read ANY of these book, you will come to a page where you think "this makes no sense." You get there because the way AI chops up information and stores it in "cells" and then processes in stages (deep learining, hidden layers) is not how we think. They are not brains, though the neural network has some similarity to ours. You will simply need to finish the book. This one or the one you bought. Then read another one, if needed. It will make a lot of sense if you finish the book. Then you just generalize where you are at. I am never going to write Python or get deeply involved in tha manner. I am quite familiar with the free vesrions and I am able to check what summaries I get from AI. I will also keep up with the language part of it. AI does not study grammar the way we do. It looks for patterns in millions of examples. I have since 2023 gone through most of the 20 dollar range books. This one is the best.
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Reviewed in the United States on April 1, 2026

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