Results 151 to 160 of about 11,058 (261)

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

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

Integrated meteocean and seismic dataset for AI-based seawater CO₂ estimation at Deception Island, Antarctica. [PDF]

Sci Data
Flecha S, Amaya-Vías S, Medina M, Stips A, Fraile-Nuez E, Jiménez-Morales V, Contreras-Guijarro G, Díez-Minguito M, Caballero-Martínez OA, Navarro G, Tovar-Sanchez A, Huertas IE.   +11 more
europepmc   +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

A Geospatial atlas of honey bee forage plants and their distribution patterns in Africa and beyond. [PDF]

Sci Rep
Nganso BT, Agboka KM, Atagong SD, Topé SF, Massing T, Landmann T, Sevgan S, Mwiza W, Odera F, Piiru ED, Otieno-Ayayo ZN, Soroker V, Guimapi RA.   +12 more
europepmc   +1 more source

Landscape Changes in the Kitchener Avalanche Path, Aoraki/Mount Cook National Park After the Record‐Breaking July 2022 Storm

New Zealand Journal of Geology and Geophysics, Volume 69, Issue 1, March 2026.
Three‐dimensional landscape changes were investigated in the Kitchener Avalanche Path, Aoraki/Mount Cook National Park, New Zealand, after an extreme storm in July 2022. The Path features an earthen diversion berm constructed in 2018 to mitigate the risk of avalanches to the adjacent Aoraki/Mount Cook Village.
David Y. Sheppard, Aubrey D. Miller, Pascal Sirguey, Simon C. Cox   +3 more
wiley   +1 more source

The records from citizen science of an "endemic" agouti are not thoroughly evaluated nor examined. [PDF]

BMC Res Notes
Turcios-Casco MA, Schiavetti A, Teta P.
europepmc   +1 more source

Long‐Range Time‐Correlated Single‐Photon Counting Lidar 3D‐Reconstruction From a Moving Ground Vehicle

Journal of Field Robotics, Volume 43, Issue 2, Page 1178-1192, March 2026.
ABSTRACT Time‐correlated single‐photon counting (TCSPC) lidar enables high‐resolution 3D imaging at kilometer range. While previous works have covered long range TCSPC 3D imaging from either stationary or airborne platforms, this is, to the best of our knowledge, the first attempt that use a moving ground vehicle. Fusing measurements taken at different
Hannes Ovrén, Max Holmberg, Markus Henriksson   +2 more
wiley   +1 more source

Optimal Low-Cost MEMS INS/GNSS Integrated Georeferencing Solution for LiDAR Mobile Mapping Applications. [PDF]

Sensors (Basel)
Al-Shereiqi N, El-Diasty M, Al-Rawas G.
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