Researchers in China are promoting a new machine-learning model built from satellite images that can offer a “lightweight and ...

Cloud detection in remote sensing images is a fundamental pre-processing step that underpins accurate Earth observation analyses. Over the past decades, researchers have developed a wide range of ...

Combining machine learning with multimodal electrochemical sensing can significantly improve the analytical performance of biosensors, according to new findings from a Penn State research team. These ...

Explore ISRO’s free AI and Machine Learning courses offered through IIRS and online platforms. Learn eligibility, syllabus, ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

In a significant development for 'lens-less' imaging, researchers have devised a new image reconstruction method that enables high-quality imaging in a short computing time. The new method is based on ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.