AI on Arduino (learning irrigation station)

Artificial Intelligence of my Arduino consists so far of a single soft (programmed) neuron, which I can teach and leave my pot flowers’ irrigation in the trust of. In this instructable we are going to implement an artificial neuron into Arduino. I visited a whole class :) of neurology course, so I can explain it’s functioning to you in detail. A neuron is a unit making decision on the basis of synapse signal (input 0-1) and a weight (importance) of this signal. Say we have a neuron whose synapse is coming from a soil moisture sensor. Weight (excitation threshold) is the level of the signal by which a neuron knows that the soil is dry enough and needs watering. But every flower has its own comfortable moisture level. That’s where a backpropagation can be implemented. By manually watering the flower pot we instruct our neuron what should be the weight of the signal or excitation threshold. Now you know almost everything a certified neurologist knows about your brains.”


Related Content