Despite great progress over the past century, more than a billion people still don’t have access to clean drinking water today. Much of the water on Earth’s surface is polluted, but it’s not always easy to tell a dirty stream from a clean one. Professional kit for water analysis can be expensive, which is why Kutluhan Aktar decided to design a portable, internet-connected water pollution monitor.
There is no single parameter that determines the quality of a water sample, so the pollution monitor has no less than five different sensors. These can determine the oxidation-reduction potential (a chemical indicator), the pH (acidity), total dissolved solids (mainly salts), turbidity (suspended particles) and temperature. To combine all these numbers into a simple “yes/maybe/no” indicator, Kutluhan trained a neural network with data gathered from a large number of places around his hometown.
See https://hackaday.com/2022/04/02/monitoring-water-quality-using-lots-of-sensors-and-machine-learning/
#technology #environment #water #machinelearning #pollution #opensource