RGB Meets Hyperspectral: AI Framework Spots Crop Pests Before Damage Shows
A two-stage imaging and deep learning framework detects and grades infestations of four greenhouse pests, distilling 248 spectral bands into ...
A two-stage imaging and deep learning framework detects and grades infestations of four greenhouse pests, distilling 248 spectral bands into ...
Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...
A new review in Current Research in Food Science details how artificial intelligence, CRISPR gene editing and RNA interference are ...
Researchers have built an AI framework that grades cassava roots by amylose content using hyperspectral imaging and reconstructs the crucial ...
Researchers have developed a hyperspectral deep learning framework, STAMPformer, that non-destructively predicts continuous frost damage severity in field-grown tea plants ...
Hyperspectral imaging has revealed hidden and superimposed paintings in China's Tangbaletasi cave, tracing a multi-millennial sequence from Bronze Age ritual ...
A new 108-million-pixel hyperspectral benchmark called HyBEAR provides expert-verified, parcel-level bare soil labels and a standardized validation protocol to accelerate ...
Researchers at the American University of Beirut used hyperspectral imaging and machine learning models to predict nickel and cadmium contamination ...
German researchers show that hyperspectral imaging combined with machine learning can distinguish parental and hybrid faba bean seeds, opening a ...
A new review argues that meat freshness monitoring must evolve from isolated laboratory sensors into integrated, digitally connected systems capable ...
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© 2026 Scienmag - Science Magazine