Solar-induced chlorophyll fluorescence (SIF) is a crucial indicator of vegetation photosynthesis, and in recent years, tower-based SIF measurements have become increasingly valuable in conjunction ...

Hyperspectral data comprises the full light spectrum; this dataset of continuous spectral information has many applications from understanding the health of the Great Barrier Reef to picking out more ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

Scientists have developed an algorithm that can determine whether a super-resolution microscope is operating at maximum resolution based on a single image. The method is compatible with all types of ...

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...