Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven solutions for environmental and climate challenges

AI-driven solutions for environmental and climate challenges

Showing 13-24 of 176 articles

Using autonomous methane detection drones for Arctic permafrost thaw monitoring

Leveraging blockchain technology for transparent and tamper-proof carbon credit verification

Optimizing megacity-scale solutions for waste management using retrieval-augmented generation

Using autonomous methane detection drones for real-time monitoring in Arctic permafrost thaw zones

Investigating climate refugia during the last glacial maximum for biodiversity conservation

Blockchain-based carbon credit verification with IoT-enabled direct air capture monitoring

Using autonomous methane detection drones for real-time landfill emissions monitoring

Autonomous methane detection drones for Arctic permafrost monitoring

Optimizing phytoplankton cloud seeding for large-scale carbon capture via AI modeling

Predicting crop failures aligned with El Niño oscillations using satellite phenotyping

Enhancing plant communication networks through spectral analysis AI for stress detection

Blockchain-based verification systems for transparent carbon credit trading in industrial sectors