SKU: 75947080479
automatic plant watering system with arduino

automatic plant watering system with arduino Automatic Smart Plant Watering Kit 2.1 for Arduino DIY – REES52

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Description

automatic plant watering system with arduino Automatic Smart Plant Watering Kit 2.1 for Arduino DIY – REES52Description: Our DIY Smart Plant Watering System 2. 1 is based on Arduino Leonardo which has been integrated into the mainboard. We add an RTC to set timing watering and a 0. 96 inch OLED to show the time and the soil moisture status. The smart watering system includes a pump, capacitive soil moisture sensors, a water switch to redirect the water to up to 4 plants, and pipes for the water to go through. Compared with the resistance moisture sensor,

Description:

Our DIY Smart Plant Watering System 2.1 is based on Arduino Leonardo which has been integrated into the mainboard. We add an RTC to set timing watering and a 0.96 inch OLED to show the time and the soil moisture status. The smart watering system includes a pump, capacitive soil moisture sensors, a water switch to redirect the water to up to 4 plants, and pipes for the water to go through. Compared with the resistance moisture sensor, the soil moisture sensor is made of a corrosion-resistant material, which will provide a long service life. The Arduino Smart Watering Kit provides all your smart plant monitoring systems with ease of use and unlimited options!

DIY Smart Garden Kit power the board after uploading the Arduino program we attached to the wiki, the board uses the 4 soil moisture sensors to determine the soil level in the plant. DIY Smart Plant Watering System board will send the command to the switch to open a specific channel for a specific plant that needs water currently (up to 4 plants at once). Afterward, the board will send the command to turn on the pump and suck water into the switch, the switch will separate the stream and will give just enough water for your plants. Then it will close the pump and the switch and continue to check when your plant needs water.This board is different from the last version, it only can be used for the smart watering system.

Note: Please use the DC power to power the board first when you try to upload new code into it.

Specifications:

  • Length of water pipe: 5m
  • Length of 4 Pin Crowtail cable: 1m

Features:

  • Integrated Arduino UNO into the mainboard, program it easily.
  • Eliminates the need for messy jumpers and breadboards, connect all sensors and modules with ease.
  • Power the board with a single 12V power supply directly.
  • 4 interfaces for sensors, one interface for water switch and one interface for motor or pump.

Package Included:

1 x Automatic Smart Plant Watering Kit 2.1 for Arduino DIY Arduino-Based Automatic Plant Watering Kit Are Effortless Plant Maintenance For Indoor Plant Care

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SKU: 75947080479

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4.1 ★★★★★
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E
eyal Fishman
Massapequa, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Lake Worth, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Whiting, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Port Orchard, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Dallas, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
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Reviewed in the United States on October 14, 2024

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