Tag: hyperspectral imaging

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 ...

A systematic review of 199 studies finds that drone-based remote sensing is transforming rice breeding and field management, while cross-regional ...

A comprehensive review shows that artificial intelligence, from hyperspectral sensing and climate-driven forecasting to autonomous drones and ground robots, is ...

University of Saskatchewan researchers show that hyperspectral imaging paired with machine learning can identify pea seed-borne mosaic virus in individual ...