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 ...
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 ...
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 ...
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