AI INTEGRATED MICRO SEISMIC BIOINSTRUMENTATION FOR REAL-TIME SOIL HEALTH MAPPING: A MULTI-SENSOR, IN SITU APPROACH TO ECOSYSTEM RESILIENCE IN CLIMATE-STRESSED LANDSCAPES
This research explores the convergence of AI-integrated micro-seismic bioinstrumentation and multi-sensor frameworks for real-time, in situ soil health mapping. As climate-induced degradation escalates across landscapes, there is an urgent need for intelligent systems that can monitor ecological resilience parameters. This study introduces a novel multi-modal platform combining AI, micro-seismic sensing, and bioinstrumentation for continuous, localized analysis of soil health.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-24
- DOI
- https://doi.org/10.5281/zenodo.15729648
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00