Vital role of AI in resolving climate challenges

Posted on 21 Feb 2022

As we move into the future, it is important that we are able to evaluate and predict global warming and its consequences. According to an overview article on, artificial intelligence (AI) could help us tackle these climate challenges step-by-step.

Full use of all data

Artificial intelligence is capable of analysing and even predicting enormous quantities of data, for example regarding the weather. AI can uncover patterns and highlight logical links which might normally be missed. In the fight against global warming, it is abundantly clear that these huge quantities of data could provide benefits. AI can ensure that this data is maximised so it can be effectively used on all fronts.

Outlining agricultural policy

One of these fields is food production, which depends on both water and weather patterns. AI is perfectly suited to determining which soils are most suitable for each crop or harmonising crops with the availability of water in the area. Farmers, scientists and policymakers can also ensure that the agricultural challenges thrown up by climate change are tackled as efficiently and effectively as possible.

Water crisis

A lack of water continues to be a significant global issue. But thanks to the ingenious Suomi NPP satellite, the day-to-day water cycle on our planet can be monitored carefully. The satellite generates huge amounts of data which, thanks to AI, allows the consequences of water crises in particular regions to be monitored and even predicted.

Optimisation of solar and wind farms

Finally, there is also a significant role for AI in the renewable energy sector, which depends on two of the most important climate elements, the sun and wind. AI can allow electricity producers to optimise their solar and wind farms and, for example, provide for the increasing demand for electricity throughout an approaching heatwave. In certain situations, such as a crisis, AI can also support producers and policymakers when making decisions.

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