This week has been a busy week on the farm, not that much work done regarding the project.
In the last Blog [11] we covered how to make a self learning Hydropinics nutrient doser, it worked out the system variables to keep the growing fluid at the specified EC. This works very well, but we might be able to go one step further.
This Blog will cover the theory and implementation of optimising the EC set-point for the grow system. That is instead of the user specifying the EC setpoint we will let the controller optimise the set point for itself.
Basic theory:
A plant will only take the nutrients it requires from the growing fluid. The concentration of the growing fluid is dependant on:
>Temperature
>Sunlight intensity
>Plant strain
>CO2 abundance
A lot of variables here, so not well suited to model based optimisation. Instead we will be using feedback to optimise the situation.
[More to come her]
Again not much work has been done this week, the code and more info will be online next week.
Keep watching,
Mike
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