Tag: hyperspectral imaging

A multi-task deep learning framework can estimate more than a dozen crop photosynthetic traits simultaneously from hyperspectral images with record ...

Researchers in Germany combined hyperspectral imaging with a compact 1D convolutional neural network to detect strawberry powdery mildew under real ...

The authors of a label-free Raman imaging study of Drosophila testes have issued a detailed rebuttal to critics, releasing raw ...

A new deep learning network called MHISR reconstructs sharp microscopic hyperspectral images, enabling researchers to quantify rice disease resistance through ...

Researchers have combined dual optical frequency combs with a Transformer-based deep learning model to achieve video-rate single-pixel imaging through a ...

A new review shows how machine learning combined with spectroscopy, hyperspectral imaging and electronic sensors is enabling rapid, nondestructive prediction ...

Researchers combined dual-comb illumination, compressive ghost imaging, and deep learning to reconstruct full hyperspectral images from sparse, low-light measurements.

A comprehensive new survey maps how machine vision and deep learning are transforming pest detection, yield estimation, robotic harvesting, quality ...

Researchers screened millions of hyperspectral wavelength ratios for co-heritability and used the resulting synthetic traits to raise multi-trait genomic prediction ...

A new review explains how artificial intelligence is enabling computational light field detection to recover multidimensional optical information from compact ...