Results 201 to 210 of about 1,316,422 (315)

Phenomic prediction of wheat yield and grain quality using multispectral, hyperspectral, and thermal imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain quality in durum wheat (Triticum turgidum L. subsp. durum (Desf.) Husn.) remains a major challenge for plant breeders because grain yield and grain protein concentration often show a trade‐off, and both are influenced by grain nitrogen concentration.
A. Pacheco, I. Ortiz‐Monasterio, F. A. Rodrigues Junior, M. Quemada, J. Burgueño, S. R. Mothukuri   +5 more
wiley   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

Unmanned aerial vehicle time‐series phenotyping illuminates genotype‐specific responses to off‐target dicamba exposure in soybean

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Dicamba, a synthetic auxin herbicide, is widely used for postemergence weed control. However, the high potential for volatility and spray drift raises concerns about damage to nontarget dicot crops lacking the dicamba monooxygenase transgene, which provides bioengineered resistance.
Seda Ozer, Brian W. Diers, Dean E. Riechers, Caio C. Vieira, Alper Adak   +4 more
wiley   +1 more source

Field-based and close-range multispectral imaging dataset for Huanglongbing (HLB) detection in orange trees: A resource for machine learning and digital agriculture. [PDF]

Data Brief
Porto LR, Abdelghafour F, Tommaselli AMG, Imai NN.   +3 more
europepmc   +1 more source

Genomic characterization of plant height and lodging in spring oat (Avena sativa L.) using time‐series aerial sensor data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant height is one of the key economic traits in spring oat (Avena sativa L.) and a major determinant of lodging, and consequently, yield potential. Understanding the genetic basis of the variation in plant height can significantly benefit plant improvement efforts.
Afrina Rahman, Anup Kumar Das, Jayanta Roy, Amandeep, Michael S. McMullen, Paulo Flores, Craig H. Carlson   +6 more
wiley   +1 more source

A camera calibration method driven by unmanned aerial vehicles and high-precision estimation of maize SPAD values under adverse conditions. [PDF]

Front Plant Sci
Yan J, Miao S, Li X, Shi H, Ding S, Li Z, Wang N.   +6 more
europepmc   +1 more source

The Benefits of High Resolution Multispectral TIR Data and Its Impending Loss by NASA After Four Decades

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract NASA has led multispectral (≥3 wavelength bands) thermal infrared (TIR) sensor development from the earliest days of the agency. These data are critical in addressing a wide range of scientific questions and administration priories by measuring both temperature (for wildfire and volcanic eruption monitoring, agricultural plant stress, and ...
M. S. Ramsey, K. Cawse‐Nicholson, J. B. Fisher, S. J. Hook, G. C. Hulley, C. M. Lee, M. Silvestri, J. O. Thompson, I. M. Watson   +8 more
wiley   +1 more source

Evaluating the Visibility of Power-Line Bird-Collision Warning Devices Using an Avian Spectral-Response Weighting Model. [PDF]

Animals (Basel)
Li M, Li W, Huang G, Kuang Y, Yang Z, Hu J, Jia Y.   +6 more
europepmc   +1 more source

Cabbage yield estimation with multi‐view convolutional neural networks from UAV‐derived point clouds

Agronomy Journal, Volume 118, Issue 6, November/December 2026.
Abstract Three‐dimensional (3D) data from remote sensing, including point clouds, provide detailed canopy structural information that can enhance both estimation accuracy and model generalization. The main objective of this study was to evaluate the accuracy of per‐plant yield estimation of cabbage (Brassica oleracea var.
Yui Yokoyama, René Gislum, Tsutomu Matsui, Takashi S. T. Tanaka   +3 more
wiley   +1 more source

Generative Modeling and Multispectral Imaging for Eye Fundus Classification. [PDF]

Med Sci (Basel)
Burgos-Fernández FJ, Ly B, Bou-Marin M, Díaz-Doutón F, Pujol J, Sermesant M, Vilaseca M.   +6 more
europepmc   +1 more source