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UrduA team of University of Illinois Urbana-Champaign researchers has developed a method to reconstruct hyperspectral images from standard RGB images using deep machine learning. This technique can greatly simplify the analytical process and potentially revolutionize product assessment in the agricultural industry.
Tag: Hyperspectral Imaging
Quantum dot-enabled infrared hyperspectral imaging with single-pixel detection
This study suggests single-pixel detection as a cost-effective alternative to expensive InGaAs focal plane arrays (FPAs) for near infrared (NIR) hyperspectral imaging.
Sweet potato quality analysis is enhanced with hyperspectral imaging and AI
Sweet potato quality assessment is crucial for producers and processors because features influence texture and taste, consumer preferences, and viability for different purposes. A new study from the University of Illinois Urbana-Champaign explores the use of hyperspectral imaging and explainable artificial intelligence (AI) to assess sweet potato attributes.
Imaging technique provides link to innovative products
A study led by University of Georgia researchers announces the successful use of a new nanoimaging technique that will allow researchers to test and identify two-dimensional materials.