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.

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Marisa Hughes (center) works with a team that includes experts in machine learning, remote sensing and computer vision to leverage artificial intelligence to produce accurate estimates for road ...

Themed ‘Harnessing GIS and remote sensing for sustainable development: A practical application in geographical research’, the workshop was aimed at strengthening both conceptual understanding and ...

Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...