Results 221 to 230 of about 204,035 (336)

Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery. [PDF]

J Biomed Opt
Witteveen M, Mooij C, Dashtbozorg B, Ruers T.   +3 more
europepmc   +1 more source

BAYESIAN ALGORITHM FOR UNSUPERVISED UNMIXING OF HYPERSPECTRAL IMAGES USING A POST-NONLINEAR MODEL

, 2014
Yoann Altmann, Nicolas Dobigeon, Jean‐Yves Tourneret   +2 more
openalex   +1 more source

Hyperspectral image processing system [PDF]

, 2012
Sahar Sabbaghi Mahmouei
openalex  

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, Vincent Segura   +13 more
wiley   +1 more source

Quantitative analysis and visualization of live spotted seabass (<i>Lateolabrax maculatus</i>) flesh texture using hyperspectral imaging and machine learning. [PDF]

Food Chem X
Che S, Li A, Wang H, An C, Fang X, Wang Q, Tao Q, Li Y, Liu C, Liu S, Zhuang Z.   +10 more
europepmc   +1 more source

The Spatial LASSO With Applications to Unmixing Hyperspectral Biomedical Images

, 2014
Daniel V. Samarov, Jeeseong Hwang, Maritoni Litorja   +2 more
openalex   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 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

Phenotypic scoring of canola blackleg severity using machine learning image analysis

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +1 more source