Mohammad Al Harthi

Industrial electronics and control engineer with focused on exceeding corporate goals and continuous improvement. Logical and analytical professional paired with capacity to translate complex ideas into understandable concepts. Polished in testing theoretical designs, writing specifications and technical reports and creating user-friendly interfaces.

 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 project we are going to implement an artificial neuron into Arduino. First, a neuron is a unit making decision on the basis of synapse signal (input 0‑1) and a weight (importance) of this signal. Therefore, 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 is where a backpropagation can be implemented. By manually watering the flowerpot we instruct our neuron what should be the weight of the signal or excitation threshold. 

• Member of the Technical Leaders Preparation Club ‑ Dammam Technical College.

OSHA 30 H