AI in Sustainability
Artificial intelligence can help us understand environmental changes and use resources more efficiently. This website explores its role in climate prediction, energy optimisation, and smart agriculture, while considering the limitations of these technologies.
Climate & Weather
AI can support environmental planning through weather prediction and flood forecasting. These applications help people prepare for changing conditions. Short-term weather forecasts are different from long-term climate projections.
Photographs illustrate monitoring technology; they do not show the AI systems described.
AI Weather Forecasting
AI Flood Forecasting
Solar Energy Forecasting
Wind Energy Forecasting
Energy Optimisation
Solar and wind power depend on changing weather conditions. Machine learning can help predict their electricity output, supporting decisions about when renewable energy will be available.
Photographs illustrate renewable energy; they do not show the specific projects described.
Smart Agriculture
AI can help farmers make more targeted decisions about crop management. Examples include identifying weeds for selective spraying and analysing soil conditions to support irrigation planning.
Photographs illustrate farming technology; they do not show the specific products described.
Targeted Weed Spraying
Smarter Irrigation