Results 311 to 320 of about 6,275,177 (375)

A Portable High-Resolution Snapshot Multispectral Imaging Device Leveraging Spatial and Spectral Features for Non-Invasive Corn Nitrogen Treatment Classification. [PDF]

Sensors (Basel)
Li X, Niu Z, Morales-Ona AG, Chen Z, Zhao T, Quinn DJ, Jin J.   +6 more
europepmc   +1 more source

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod, Andrew W. Herr, Pia M. Spychalla, Ian C. Burke, Arron H. Carter   +4 more
wiley   +1 more source

Distinguishing of Histopathological Staging Features of H-E Stained Human cSCC by Microscopical Multispectral Imaging. [PDF]

Biosensors (Basel)
Wu R, Yang J, Chen Q, Yang C, Ge Q, Rui D, Xiang H, Zhang D, Wang C, Zhao X.   +9 more
europepmc   +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

Deep machine learning identified fish flesh using multispectral imaging. [PDF]

Curr Res Food Sci
Xun Z, Wang X, Xue H, Zhang Q, Yang W, Zhang H, Li M, Jia S, Qu J, Wang X.   +9 more
europepmc   +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

Development of an Automated Low-Cost Multispectral Imaging System to Quantify Canopy Size and Pigmentation. [PDF]

Sensors (Basel)
Wacker K, Kim C, van Iersel MW, Sidore B, Pham T, Haidekker M, Seymour L, Ferrarezi RS.   +7 more
europepmc   +1 more source

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy

The Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Osval A. Montesinos‐López, Joel A. Martínez‐Regalado, Cintia Leonora Murillo‐Avalos, Andrew W. Herr, Abelardo Montesinos‐López, Iván Delgado‐Enciso, Jaime Cuevas, José Crossa, Arron H. Carter   +8 more
wiley   +1 more source

Validation of multispectral imaging-based tissue oxygen saturation detecting system for wound healing recognition on open wounds. [PDF]

J Biomed Opt
Shin YS, Hung KS, Tsai CT, Wu MH, Lin CL, Hsueh YY.   +5 more
europepmc   +1 more source

Glacier‐Atmosphere Interactions and Feedbacks in High‐Mountain Regions ‐ A Review

Reviews of Geophysics, Volume 64, Issue 1, March 2026.
Abstract Mountain glaciers are among the natural systems most vulnerable to climate change. However, their interactions with the atmosphere are complex and not fully understood. These interactions can trigger rapid adjustments and climate feedbacks that either amplify or attenuate atmospheric signals, influencing both glacier response and large‐scale ...
T. Sauter, B. W. Brock, E. Collier, B. Goger, A. R. Groos, K. F. Haualand, R. Mott, L. Nicholson, R. Prinz, T. E. Shaw, I. Stiperski, A. Georgi, M. Haugeneder, A. Mandal, D. Reynolds, M. Saigger, J. E. Sicart, A. Voordendag   +17 more
wiley   +1 more source