SKU: 45826672529
grow lotus flower from seed

grow lotus flower from seed Sacred Lotus Seeds - Nelumbo Nucifera

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Description

grow lotus flower from seed Sacred Lotus Seeds - Nelumbo NuciferaThe mini lotus Nelumbo nucifera is an aquatic perennial. Also known as sacred lotus, its tuberous roots colonize the soil at the bottom of ponds, or the soil in containers fully submerged in lined ponds. The stems of the leaves can reach the surface of water that's nearly two feet deep, and then continue upward, above the water, a few inches or even a foot farther. The roots don't tolerate frost, In winter, please move the Mini Lotus indoors. PLANT

The mini lotus Nelumbo nucifera is an aquatic perennial. Also known as sacred lotus, its tuberous roots colonize the soil at the bottom of ponds, or the soil in containers fully submerged in lined ponds.

The stems of the leaves can reach the surface of water that's nearly two feet deep, and then continue upward, above the water, a few inches or even a foot farther.
The roots don't tolerate frost, In winter, please move the Mini Lotus indoors.

PLANT INFORMATION:

Type: Lotus plant
Taxonomy: Nelumbo nucifera
Family: Nelumbonaceae
Native Range: Asia
Zone: 4 to 10
Bloom Time: June to July
Blossoming: Pink, white
Light Preferences: Full sun
Maintenance: Low
Flower: Showy, Fragrant
Deer Resistant: No

CAN LOTUS GROW IN JUST PLAIN WATER?

Seeds germinate in clear water, and the growth of seeds requires adequate nutrition. If you want to plant Lotus in clear water, you need to provide it with nutrient solution to meet its growth needs. Ideal is to plant the lotus in nutrient-rich pond mud.

HOW TO PLANT LOTUS SEEDS?

File, sand, or nick the seeds so water can easily penetrate. Carefully go through the outer layer to the cream-colored inside. Sand either the side or rounded end, however doing the end helps it sprout faster.

Place them directly in warm clean water for germination. The water should be between 70 and 90 degrees Fahrenheit. 

Change the water twice a day using warm water. Keep the water between 70-85°F (21-29°C). Over the next 3 days, the seeds will begin to appear lumpy. Shortly after that, they will begin to sprout. 

Put about 3 inches of soil at the bottom of a plastic bucket. Plain garden soil will work well. Add enough water in the bucket to cover the soil by about 3 inches. Let the bucket sit overnight to allow the soil to settle. 
Plant the seed about 1 inch deep.
Transplant the lotus to its final growing place after a couple of weeks. This should not be done until the lotus has a number of leaves floating on top of the water in the bucket.
Plant the lotus in 3-5 inches of soil in its final growing place. 

Planting recommendation: 1-2 plants per pot. If the stems of Lotus are tangled together, will easily become black and rotten.
Place the bowl with seeds in a sunny place and enjoy the plant growing.

Package includes: Lotus 5 Seeds

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SKU: 45826672529

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J
Jiewen Wang
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★★★★★ 5
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Format: Kindle
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Reviewed in the United States on July 2, 2025
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Nader
Charlottesville, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
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noam barkay
San Leandro, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Grantham, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
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Vineeth Sai
New York, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025

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