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.

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 ...

At the forefront of scientific research, our faculty are dedicated to advancing theoretical understanding and practical applications of AI technologies. RIT's College of Science faculty are actively ...

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

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

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

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 ...

Add Python to Your Modern GIS Toolkit. Python, that high-level, interpreted programming language known for its simplicity, readability, versatility, and library support, is changing the face of ...

Combining machine learning with multimodal electrochemical sensing can significantly improve the analytical performance of biosensors, according to new findings. Combining machine learning with ...