Crop nutrition and quality formation are complex processes influenced by genotype, environment, and management practices.

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 ...

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

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 ...

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.

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 ...

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

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 ...

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 ...