SKU: 45237544134
grow light lamps for indoor plants

grow light lamps for indoor plants Full Spectrum Indoor Plant Grow Light | Grow Lamp

$23.54 $26.15
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Description

grow light lamps for indoor plants Full Spectrum Indoor Plant Grow Light | Grow Lampdescription Bring light to the darkest corners of your home. Our full spectrum led grow lights deliver the wavelengths your plants actually use to grow, so a shady shelf or a windowless room is no longer off limits. The lights are fully adjustable, so you can shape the light around your plants and your space, not the other way around. We've put years of work into the internals, especially the power supply and control box, which is the most common

 

 

description

Bring light to the darkest corners of your home. Our full spectrum led grow lights deliver the wavelengths your plants actually use to grow, so a shady shelf or a windowless room is no longer off-limits.

The lights are fully adjustable, so you can shape the light around your plants and your space, not the other way around.

We've put years of work into the internals, especially the power supply and control box, which is the most common failure point on cheaper grow lights.

We're confident these are some of the most durable lights you can buy, and we back them with a 1 year guarantee. If anything goes wrong in that time, just contact our support and we'll arrange a refund or replacement.

why you will love it

built in timer

The light has a built-in timer, so it switches off on its own after 3, 6 or 12 hours, or stays on indefinitely if you prefer.

custom light settings

Ten brightness levels per setting, so you can dial the light up or down to suit each plant.

fits your space

A simple clip fixes the light to a table, shelf or desk, and the flexible neck bends to reach plants wherever they sit, in soil or water.

how it works

Sunlight reaches your plants across a wide range of wavelengths, but plants only use a few of them to grow. Those useful wavelengths sit mostly in the blue and red parts of the visible spectrum. Our grow lights use LEDs tuned to emit those bands, concentrating the light where it does the most good.

The chart below shows where this light puts its energy: a peak in the blue band around 400 to 500nm and a stronger peak in the red band around 600 to 700nm, the two ranges plants rely on most for healthy growth.

Light output concentrated in the blue (400 to 500nm) and red (600 to 700nm) bands.

For more detail, see our FAQ articles on how to measure the effectiveness of a grow light and how grow lights differ from normal lights.

specifications

  • Light tube length: 27cm
  • Adjustable neck: 39cm
  • Power cord: 155cm
  • Clip opens comfortably to 6cm, and up to 7.5cm at a stretch
  • Positioning: keep the light no closer than 12 to 15cm from the plant, and no further than around 35 to 40cm
  • The clamp, adjustable necks and cord are black
  • Input voltage: 5V
  • Rated power: 10W (three-headed light)
  • Monthly energy cost: about $1.19 for the three-headed light (assumes 12 hours a day at an average Australian electricity price of 33c/kWh)
  • Expected lifespan: 50,000 hours

what's included

  • 1 × LED grow light
  • 1 × USB cable
  • 1 × wall socket adaptor
  • 1 × user manual
  • integrated controller

Note: the light does not come with a pot.

setup video

setting up your grow light

It arrives fully assembled. Clip it onto a table, shelf or other surface, then arrange the lights over your plants.

positioning your grow light

Keep the light at least 10cm from any leaves so they don't scorch.

  • Set the timer to match your plant and its spot:
    • 12 hours for plants in low-light spaces
    • 9 hours for spaces with indirect natural light
    • 3 hours for plants in bright, naturally lit spots
  • Think about where your plant comes from, too. A low-light houseplant may need very little extra light, while something like basil will want plenty.
  • Start dim and build up to the brighter settings over a few days, so your plants have time to adjust. If leaves start to brown or look scorched, lower the intensity.

The light in the video looks purple, but the setup is exactly the same.

 

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Exchange/Return Notes
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SKU: 45237544134

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Zygerian99
Carnegie, 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
Grantham, 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
New York, 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
Birmingham, 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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