Results 161 to 170 of about 4,471 (236)

Laser bathymetry on rough riverbed channels: State‐of‐the‐art and future prospects

Earth Surface Processes and Landforms, Volume 51, Issue 6, June 2026.
This literature review found that topo‐bathymetric LiDAR has been successfully used to capture the structures of rough riverbeds and detect large boulders. While all of the studies that were reviewed used sensors that were operated from fixed‐wing aircraft, few studies have yet tested UAV‐borne sensors on rough riverbeds, despite the potential offered ...
Theresa M. Himmelsbach, Gottfried Mandlburger, Bernhard Gems, Jan Rhomberg‐Kauert, Markus Aufleger   +4 more
wiley   +1 more source

Hyperspectral reconstruction of white light endoscopy images for enhanced segmentation of early esophageal lesions in patients. [PDF]

iScience
Wang YK, Lee KH, Su CH, Chen CL, Chen WC, Wu IC, Wang CY, Wang HC.   +7 more
europepmc   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

Future Postharvest and Food, Volume 3, Issue 2, Page 185-205, June 2026.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh, Anurag Singh, Ashutosh Upadhyay, Navneet Kumar   +3 more
wiley   +1 more source

Leveraging UAV hyperspectral imaging for crop physiology and biochemistry: A comprehensive review of feature extraction and selection methods. [PDF]

Plant Phenomics
Xu L, Chen L, Luo Q, Zhao S, Huang J, Wang K, Yang Z, Weng X, Fang K, Feng H.   +9 more
europepmc   +1 more source

AI‐Enabled Next‐Generation Dairy Systems: From Sensors to Smart Processing

Food Science &Nutrition, Volume 14, Issue 6, June 2026.
AI‐enabled Dairy 4.0 technologies integrate big data, IoT, smart sensing, digital twins, and machine learning to address key dairy industry challenges including sustainability, milk quality variability, animal health, traceability, and resource efficiency.
Zeki Erol, Jerina Rugji, Ambreen Hamadani, Henna Hamadani   +3 more
wiley   +1 more source

Non-Targeted Hyperspectral Imaging Screening of Adulterants and Congeneric Species in <i>Fritillaria</i> Using a Deep Spectral Autoencoder. [PDF]

Foods
Huang Z, Chen K, Ding H, Wang Z, Zhang Y, Li H, Liu Z, Yan F, Dai Y.   +8 more
europepmc   +1 more source

Counterfeit Citri Reticulatae Pericarpium Identification: Multi‐Class Detection Using Vis/NIR Spectroscopy and Residual Neural Networks

Food Science &Nutrition, Volume 14, Issue 6, June 2026.
Citri Reticulatae Pericarpium (CRP) samples undergo authentic processing through natural air drying and preservation, whereas counterfeit CRP can be produced through high‐temperature treatment, chemical agents, dyeing, or acid–alkali processing. Vis/NIR spectral analysis combined with WGAN‐GP augmentation and Inception‐ResNet classification captures ...
Chao Ma, Mingkun Zhang, Jianwei Ma, Sudan Chen, Yunxia Yuan, Mingtong Du, Zhiyong Dai   +6 more
wiley   +1 more source

Hyperspectral imaging with machine learning for non-destructive prediction of quality attributes in Lanzhou frozen pears. [PDF]

Food Chem X
Qiao W, Yang M, Hu J, Yan H, Guo Y, Guo F.   +5 more
europepmc   +1 more source

Mechanophores for Mechano‐Imaging in Polymeric Materials

Helvetica Chimica Acta, Volume 109, Issue 6, June 2026.
Mechanophore‐based mechanochromic systems convert mechanical forces in polymers into optical signals, enabling direct imaging of stress localization and molecular damage. This perspective highlights recent advances in mechanophore design and their use to probe local mechanics across diverse polymer matrices, and concludes by outlining opportunities for
Jess M. Clough
wiley   +1 more source

Hyperspectral phenotyping reveals the genetic basis of grain quality in rice. [PDF]

aBIOTECH
Hu W, Chen X, Yu J, Deng J, Ye X, Zhang C, Wang S, Song W, Ye Y, Gao X, Yang W, Liu Q, Fu X, Wu K.   +13 more
europepmc   +1 more source