Artificial intelligence and its contribution to environmental management

Artificial intelligence and its contribution to environmental management

1. Energy usage and consumption can be monitored through the use of AI models, which can provide optimized usage settings to reduce greenhouse gas emissions. Monitoring climate change.

2. Climate change: consists of the use of machine learning to optimize energy generation and demand in real time, through sensors and smart meters that can collect data and monitor, analyze and optimize efficient use in buildings.

3. Biodiversity, conservation and agriculture: When combined with satellite images, AI detects changes in land use, vegetation, forest cover and the consequences of natural disasters. In agricultural applications it will reduce the use of fertilizers and improve crop yields. Robots powered by these technologies also have the possibility of monitoring unusual ocean conditions and tracking illegal fishing.

4. Water issues: Various groups of scientists are increasingly turning to AI and satellite data to project water use in a particular geographic area and make weather forecasts to make informed policy decisions, especially in the face of potential floods or droughts.

5. Healthy air: AI air purifiers can record air quality and environmental data in real time and adapt filtration efficiency.

6. Weather Forecasting and Disaster Resilience: AI-powered predictive analytics coupled with drones, advanced sensor platforms, and similar tools are tasked with monitoring tremors, floods, storms, sea level changes, and other potential natural hazards.

7. Materials science and engineering: AI can help major industries drive the creation of low-carbon materials for their products. Some of the challenges have to do with finding new materials for solar panels, to convert heat back into useful electricity, and helping to find absorbent materials as components of CO2 scrubbers (removing CO2 from the atmosphere).

8. Clearly artificial intelligence can impact not only the achievement of environmental objectives but also sustainable development goals.

   • It is evident that the environmental challenges we face today, including climate change, biodiversity loss and pollution management, require novel ways of resolution because the ones we are employing fail not only to resolve them but even to improve them. its evolution. In this scenario, big data, AI and digital transformation can play an essential role in ensuring environmental sustainability and sustainable development.
   • AI is an extremely useful tool for automating processes, streamlining decision-making and sometimes reducing human error.

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