The development of artificial intelligence and big data opens new horizons in the field of eco-monitoring. These technologies make it possible to process a huge amount of information collected by various devices and make forecasts based on the patterns identified. For example, algorithms can analyze data on species migration and identify environmental changes at an early stage. This approach not only improves the quality of research, but also increases the speed of response to environmental threats.
An important part of this process is the standardization of data collection and exchange between various institutions and organizations. Using open platforms and databases, ecologists will be able to jointly solve problems of biodiversity conservation, which could not be achieved with traditional methods. Thus, AI and big data take environmental monitoring to a new level, making it more effective and accessible.
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