Advances And New Trends In Environmental Inform... -

Artificial Intelligence (AI) and Machine Learning (ML) are now central to interpreting complex ecological datasets.

Environmental informatics is undergoing a transformative shift as digital tools integrate deeply with sustainability goals. Recent developments from the and 2025 conferences highlight a transition from mere data collection to "Digital Inclusion for Sustainable Development". Advances and New Trends in Environmental Inform...

: IoT nodes (often exceeding 15,000 per project) provide granular data on soil moisture, air quality, and urban noise. Artificial Intelligence (AI) and Machine Learning (ML) are

: Platforms like Google Earth Engine are being paired with Sentinel-2 satellite data and ML to map fragile ecosystems, such as highland bamboo forests. 3. The Digital Twin and Circular Economy : IoT nodes (often exceeding 15,000 per project)

: Advanced ML models are now mapping the physical equations of changing climate patterns, such as ocean currents and melting glaciers, with unprecedented accuracy. 2. Pervasive IoT and Real-Time Monitoring

: In 2025, ML is increasingly used to forecast wastewater quality and the global distribution of pollutants like PFAS.

The current landscape of environmental informatics is defined by three major trends: 1. AI-Driven Environmental Intelligence