Citation: Ha NT, Manley-Harris M, Pham TD, Hawes I. A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga ...

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 ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...

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 ...

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 ...

A new study published in the Journal of Remote Sensing demonstrates a practical advance in satellite-based soil moisture ...

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, ...