"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

AMES, Iowa – A gardener hoping for a crop of the juiciest summer tomatoes might tend to each and every plant in a plot. But a farmer working to feed the world? Researchers believe that may be possible ...

In the Salinas Valley, America's "Salad Bowl," startups selling machine learning and remote sensing are finding customers. As a machine operator for the robotics startup FarmWise, Diego Alcántar ...

Brazilian researchers have developed a methodology that uses remote sensing to map the impact of frost on corn crops. This reduces exposure to climate risks and uncertainty regarding agricultural ...

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 ...

This course will be a practical introduction to robotic sensing, navigation and machine learning techniques in robotics. The course focuses on bridging the gap between theoretical developments, ...

A camera usually requires a lens system to capture a focused image, and the lensed camera has been the dominant imaging solution for centuries. A lensed camera requires a complex lens system to ...

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 ...