A new project has been published to the Hackster.io website providing a complete tutorial on how to build your very own Raspberry Pi smart garden complete with an Arduino connection to help monitor sensors and relay your plants environment and moisture content.
Created using a Raspberry Pi 3 Model B together with an Arduino Uno and Genuino development Board the project is capable of monitoring temperature, humidity, light levels and soil moisture. it is also equipped with an automated system that can water the plant if the soil is too dry and switches on a light when the environment is too dark for the plant. “This maintains an ideal and consistent soil condition for the plant, and makes it convenient for those who tend to forget to water their plants regularly. Also, the plant can continuously photosynthesise even when there is no sunlight.”
It’s creator explains more about the Raspberry Pi smart garden monitoring system and it’s functionality. “When the soil moisture level goes above 500 (for our soil moisture sensor, the higher it is the drier the soil), the red LED will light up as a warning to show that the plant needs water. Also the water pump will start to run and pump water into the soil automatically. This is very convenient for users as they do not need to water their plants every time but instead let the system water their plants automatically based on the moisture level of the soil.
As for the automated light, when the LDR records a value higher than 300, the yellow LED will light up and act like the sun, to allow continuous photosynthesis to occur for the plants. The temperature, humidity, light levels and soil moisture values will also be published to DynamoDB. Through a server (Raspberry Pi), the data will be displayed onto a flask web page where it shows real-time data coming from the sensors. This will allow users to view the real-time environmental conditions of the plants on the go (the latest 15 records through a graph).”
For more details and full instructions on how to create your very own jump over to the Hackster.io website where Xiao Fan Mok has published a complete document guiding you through every stage.
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