Hi , thank you for this amazing project. i want to ask if there's a way to implement Machine Learning on your project , my idea is to collecte the data from the sensors (humidty and temerature) and store them in a data base using MySQL then from this data collected you can train a model to know when you should irrigate My problem here is i don't know where should i modify the code to implement that so if someone could help me with that
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Hi There,
Seriously this would be a very interesting development, I also thought about it during the system implementation but I'm not very good in machine learning and the time I have is limited.
Anyway, the sensor and actuators data are already stored in mysql database files, so you can have access to the sensors values and timestamp and also to the time and duration of the irrigation (I suppose this is important for the learning dataset).
The files are located in the folder /env/autonom/database/.
I think that the Temperature and Humidity are a starting point, but also other factors like the light and the wind play an important role.
Regarding the SW implementation, I think this can be done as a separate module, in case I can integrate it.
Regards,
Angelo