Results 191 to 200 of about 135,791 (297)

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

Direct UAV-Based Detection of Botrytis cinerea in Vineyards Using Chlorophyll-Absorption Indices and YOLO Deep Learning. [PDF]

Sensors (Basel)
Montalban-Faet G, Pérez-Mateo E, Fayos-Jordan R, Benlloch-Caballero P, Lada A, Segura-Garcia J, Garcia-Pineda M.   +6 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

A Spectrally Compatible Pseudo-Panchromatic Intensity Reconstruction for PCA-Based UAS RGB-Multispectral Image Fusion. [PDF]

J Imaging
Kaimaris D.
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

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

Multispectral constancy for illuminant invariant representation of multispectral images

, 2018
A conventional color imaging system provides high resolution spatial information and low resolution spectral data. In contrast, a multispectral imaging system is able to provide both the spectral and spatial information of a scene in high resolution.
openaire   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Correction: Editorial: Recent trends and advancements in multispectral and hyperspectral imaging for cancer detection. [PDF]

Front Immunol
Wu IC, Wang HC, Mukundan A.
europepmc   +1 more source

Multispectral Photography

, 1970
openaire   +1 more source