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NYU Abu Dhabi researchers develop AI system to monitor water quality and climate change
AI contributes to sustainability by:
1. Analysing complex environmental data (Big environmental data)
2. Predicting environmental crises before they occur
AI is used to build predictive models for local climate change, the likelihood of wildfires, or water pollution.
Long Short-Term Memory (LSTM) networks analyze time-series data to forecast environmental phenomena.
3. More efficient natural resource management
In smart agriculture, AI helps reduce the use of pesticides and water. In wetlands, AI can monitor water flows, predict droughts, and optimize environmentally sound water distribution.
4. Protecting biodiversity
Computer vision techniques analyze images from drones and surveillance cameras to detect endangered species or illegal encroachment on protected areas. Some models can distinguish between bird or reptile species with accuracy exceeding human vision.