What role does data play in environmental AI?
Data is crucial in environmental AI as it helps in modeling, predicting, and analyzing environmental changes.
Can you give examples of the types of data used?
Sure! Types of data include satellite imagery, climate data, biodiversity records, and pollution levels.
How does AI use this data to make predictions?
AI algorithms analyze the data to identify patterns and trends, which helps in forecasting environmental impacts.
What are the challenges in using data for environmental AI?
Challenges include data quality, accessibility, and the need for real-time data to make accurate predictions.
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