This project was carried out as part of the TechLabs “Digital Shaper Program” in Münster (summer term 2021).

Abstract

As climate change causes drier and hotter summers the responsible usage of water becomes more and more important. By drawing on our Data Science skills with Python, we decided to tackle this problem by improving water conservation in private homes. Our project helps to make accurate forecasts regarding the water demand of garden plants by using data analytics methods. We programmed queries, using data from global meteorological datasets and satellite imagery on ground water. Users get feedback on different types of plants, enabling them to water their plants only when necessary.

Water about me🌱?

One of the main challenges of our time is to interact sustainably with our natural environment. This includes, among many other important topics, the need to reduce our waste of water. Nowadays, the ubiquitous access to if you need it makes it easy to forget that water is a limited resource.

The team

Eric Bauer Data Science Python

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