Water Resource Management: Strengths of AI in Water, Part 3

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Water Resource Management: Strengths of AI in Water, Part 3

I wanted to research this topic as a part of this series but then it spawned into a side quest. That side quest is not done.

However I want to go back to this general series on the strengths of AI in water tech a bit and then I will resume with my one or two articles on ai in smart irrigation that I am reading on the side as well. There’s not too much to say here in the sense that I am already saying so much of it in my other series anyway. But let me give it a go.

AI can help to conserve water by optimising irrigation and reducing wastage. 

The overview I have so far is that AI can use data from soil moisture sensors and even data from plants themselves as well as some kind of info on nutrient density or chemical composition.

And then it can combine this with other data such as
  • weather forecasts
  • historical data patterns
  • real time monitoring
and then this can be used to make more responsible irrigation decisions and then therefore to save more water. This also protects the soil. Both over- and under-watering are not good for it. And it conserves water, a most valuable and precious resource.

An image of water irrigation systems and pink water


So I think that AI has a lot to do around water conservation 

And the improvement and management of water resources

But there is still more to say here so bear with me.

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