Environmental
Protection
How AI contributes to the biggest challenge of the near future.
Clima Change &
Environmental Protection.
AI has the potential to accelerate global efforts by governments, businesses and households to protect the environment and conserve resources. This can be implemented by reducing energy & CO2 emissions &, developing greener transportation networks, monitoring deforestation or predicting extreme weather conditions. Below are examples of how you can use AI to address the most pressing environmental issues in your business as well.
AI will not have the power to save the world from clima change.
But it has a major contribution to optimizing processes, for example, and thus save a massive amount of Co2
Create ML models, for example, to optimize energy generation and demand in real time. In addition, better grid systems can guarantee higher predictability and efficiency as well as use of renewable energy. If you need some help to discuss your use case, feel free to contact our Sales Team.
Use Cases:
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Clean power
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Smart route planning
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Sustainable Production and consumption
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Sustainable land use
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Smart cities and homes
Biodiversity and
Conservation
In conjunction with satellite imagery, AI can detect changes in land use, vegetation, forest cover, and the consequences of natural disasters.
Invasive species can be monitored, identified, and tracked using the above technology. Identifying and tracking their presence and eliminating them is done using machine learning and computer vision.
Use Cases:
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Habitat protection and restoration
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Sustainable trade
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Pollution control
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Invasive species control
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Realising nature capital
Healthy Oceans
AI can gather data from ocean locations that are hard or impossible to reach and thus, help protect species and habitats. Illegal fishing can also be tracked using AI.
AI-powered robots can be used to monitor ocean conditions such as pollution levels, temperature and pH.
Use Cases:
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Fishing sustainability
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Preventing Pollution
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Protecting habitats
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Protecting species
Water Security
AI can be used to forecast water use in a given geographic area and make weather predictions to inform policy decisions.
In conjunction with satellite data, AI can help predict weather, soil and subsurface water conditions, and droughts.
Use Cases:
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Water supply
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Catchment control
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Water efficiency
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Adequate sanitation
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Drought planning
Healthy Air
Air purifiers with AI can record air quality and environmental data in real time and adjust filter efficiency.
Furthermore, AI-powered simulations can send people living in urban areas information about pollution levels in their area. Using data from vehicles, radar sensors, and cameras, AI can help improve air pollution.
More Use Cases:
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Filtering and Capture
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Monitoring and Prevention
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Early Warning
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Clean fuels
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Realtime urban management
Weather and Disaster
resilience
AI-powered predictive analytics combined with drones, advanced sensor platforms, and similar tools can monitor earthquakes, floods, storms, sea level changes, and other potential natural hazards. This real-time technology helps to take timely action and enable early evacuations if needed.
Furthermore, impacts of extreme weather events on infrastructure and other systems can be modeled and disaster risk management strategies can be developed
Further Use Cases:
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Prediction and Forecasting
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Early warn Systems
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Resilient Infrastructure
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Financial Instruments
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Resilience planning
