Some low-cost smart Wi-Fi plugs available online come pre-installed with an operating system called Tasmota.
This allows them to be remotely controlled from a computer on your Wi-Fi network privately, without relying on cloud servers.
Thanks to Tasmota, you can control devices locally using HTTP or MQTT commands.
------------------------------------ # examples of remote commands # plug IP: 192.168.1.12 # turn on plug wget http://192.168.1.12/cm?cmnd=On # turn off plug wget http://192.168.1.12/cm?cmnd=Off ------------------------------------
This first version of Supercycler is designed to test the initial SuperCycles and advance research on their effects in indoor cultivation.
Our long-term goal is to integrate this concept directly into lighting equipment and current control systems,
optimizing production and simplifying the implementation of evolution in cannabis cultivation.
We invite manufacturers of lighting and environmental control equipment to join this project, collaborating with us to develop innovative technologies that implement SuperCycles natively.
If you share this vision or want to collaborate with us,
do not hesitate to contact us.
Supercycler.py is a base code designed for testing and experimenting with SuperCycles of light in indoor cultivation.
While it is a functional and simple program, its primary goal is to serve as an initial platform for those interested in improving and expanding its capabilities.
FREE AND OPEN SOURCE
Supercycler is under a Creative Commons BY-NC 4.0 license, allowing its use and modification for non-commercial purposes.
You can find the complete project on GitHub.
SIMULTANEOUS CONTROL
OF MULTIPLE CYCLES
Run multiple instances of the program to control different switches in parallel.
Each instance can be configured with a unique cycle file and an independent switch IP.
Compatible with Tasmota.
Send HTTP commands to smart switches with Tasmota firmware to automatically turn lights on and off.
WORKS ON
WINDOWS, LINUX, AND MAC
Precompiled version (supercycle.exe) available for Windows users.
The easiest way is to download the precompiled file and use it directly from the command prompt.
Download the executable file supercycle.exe from GitHub.
In the official GitHub Supercycler repository:
https://github.com/LaHuertaDelDiablo/
Or use this direct link.
RUNNING THE PROGRAM
Open the Windows terminal (you can use cmd or PowerShell).
Navigate to the directory where you downloaded the supercycle.exe file.
--------------------------------------- # Plug IP: 192.168.1.6 # Turn off light supercycle.exe -m off -ip 192.168.1.6 # Turn on light supercycle.exe -m on -ip 192.168.1.6 # Run SuperCycle 1713 supercycle.exe -s 1713.txt -ip 192.168.1.6 ------------------------------------
On Linux or macOS
Clone the repository with Git
--------------------------------------- # Clone the repository git clone https://github.com/LaHuertaDelDiablo/supercycler.git cd supercycler # Install dependencies pip install -r requirements.txt # Plug IP: 192.168.1.6 # Turn off light python supercycle.py -m off -ip 192.168.1.6 # Turn on light python supercycle.py -m on -ip 192.168.1.6 # Run SuperCycle 1713 python supercycler.py -s 1713.txt -ip 192.168.1.6 ----------------------------------------
DIFFERENCES BETWEEN
WINDOWS AND LINUX
Windows (EXE) Ideal for users looking for simplicity and a ready-to-use solution.
Linux/macOS (Git) More flexible, suitable for programmers and users who want to modify the source code.
Choose your preferred OS and start exploring the SuperCycles! 😊
ACCESS THE SUPERCYCLER WEBSITE
Enter the ON hours
in this example, we used 17
Then enter the OFF hours
we used 13 in this case
The total number of flowering days—since we don't know exactly how long it will take, it's better to add a few extra days.
And the DLI, if you're interested in the calculation, is optional.
Supercycler will show you the results and a URL with the configuration file.
You can download the file using the browser on Windows or with wget on Linux.
If you're a programmer or hacker, we invite you to join the development of Supercycler, creating new branches or contributing improvements to the code.
You can explore ideas such as advanced optimizations, adding additional features,
or even developing a Graphical Version for Windows to make it easier to use.
This project is your platform to experiment and build more powerful tools for the grower community.
Join the SuperCannabis.ar legion and let's take SuperCycles to the next level! 🚀
Find the code on GitHub
ResearchGate: Longer Photoperiod Substantially Increases Indoor-Grown Cannabis’ Yield and Quality.