World Meteorological Day!?? AI areas in meteorology you may not know about.

1.????Voice Recognition

Most of us have some experience with voice assistants??? like Alexa and Siri by now. We may have used them to check the weather or get directions while driving.

2.????AI Training Data

An example of a supervised learning model is a travel prediction ?? based on a daily commute ??. By training the model to understand the effects of weather and time of day, it can make more accurate predictions based on current conditions.

3.????Food Industry

With the help of AI, correlations between demand and other factors are revealed that would otherwise remain hidden. Just think of seasonal or weather-related influences that affect the demand for certain foods. ??

4.????AI Texts

AIs also write excellent weather reports ?? or articles about sports results ??. Here the structure is practically always the same. The AI only needs to be given the weather data or game results and it does the rest on its own.

5.????Agriculture

E.&J. Gallo Winery ?? reduced their water consumption by 25% by using AI. In parallel, they were able to increase yield by 30%, reports the online magazine enorm. To do this, data from weather, soil conditions, drought, wind, etc. was compiled and analyzed by an AI. The AI determined the irrigation for each vine ??, which led to the effects mentioned.

6.????Climate Change and Energy Transition

-???????Offshore wind farms ?? adapt to changing environmental conditions and the processes in the energy interconnection systems. As a result, they optimize their energy efficiency.

-???????AI lowers greenhouse emissions. Fluid traffic regulated by intelligent systems protects the environment. Traffic lights ?? are only on red when necessary.

-???????Smart Homes ?? not only create security and convenience but can also be used to conserve heating energy and electricity ??.

-???????Penguin Watch ?? - Nature Research in the Crowd - The project attempts, based on changes in the penguin population, to gain insight about how ecosystems are altered through climate change, fishing, and other man-made disturbances. The more data there is to analyze, the better the results obtained from it.

(RK)

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