AZoOptics

Fiber-Optic Spectroscopy Enables Remote Sensing in Harsh and Inaccessible Environments

Fiber-optic spectroscopy leverages light-guiding technology for remote sensing, offering a robust solution for real-time data ...
Nature

Integrating machine learning algorithms and remote sensing for High-Resolution mapping of soil crusting in agricultural lands

Soil crusting is a significant form of land degradation that adversely affects soil quality and its functional properties, particularly in agricultural lands. Accurate identification of degraded areas ...
Nature

Advancing forest carbon stocks’ mapping using a hierarchical approach with machine learning and satellite imagery

Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems, maintaining general planning, and accounting for resources. Various sensors bring together heterogeneous ...
Frontiers

Physics-Informed Artificial Intelligence for Biomedical Sensing, Imaging, and Signal Interpretation

Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Chico State researchers use drones, AI to help walnut growers estimate yields

Walnut growers in Northern California may soon have a new way to get a clearer, more objective estimate of what their orchards will produce, thanks to a Chico S ...