Results 231 to 240 of about 268,742 (315)

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Autonomous Mission Planning for Fixed-Wing Unmanned Aerial Vehicles in Multiscenario Reconnaissance. [PDF]

Sensors (Basel)
Chen B, Yan J, Zhou Z, Lai R, Lin J.
europepmc   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Outlier-tolerant relative positioning method based on multi-source information fusion for unmanned aerial vehicles. [PDF]

Sci Rep
Song H, Bi Y, Hu S, Chen Y.
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles. [PDF]

Sci Rep
Alrayes FS, Ahmad N, Alshuhail A, Alshammeri M, Alqazzaz A, Alkhiri H, Alqurni JS, Said Y.   +7 more
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach. [PDF]

Sci Rep
Basil N, Marhoon HM, Sabbar BM, Mohammed AF, Albahri O, Albahri A, Alamoodi A, Sharaf IM, Amsal AM, Ahmed M, Ali E, Ghoneim SSM.   +11 more
europepmc   +1 more source

Unmanned Aerial Vehicles (UAVs) [PDF]

, 2005
openaire   +1 more source

The Franciscana (Pontoporia blainvillei) in the Northern Limit of the FMA II: Strandings and Habitat Use in Ilha Grande Bay

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT The presence of the franciscana (Pontoporia blainvillei) at the northern limit of the FMA II was investigated using a range of methods, including monitoring of strandings, boat surveys, and passive acoustic monitoring (PAM). Franciscana strandings were recorded within the distributional gap between Macaé (22°55′ S) and Ilha Grande (23°09′ S ...
Alexandre F. Azevedo, Rafael R. Carvalho, Karina S. Pereira, Lis Bittencourt, Elitieri B. Santos‐Neto, Lara V. Pereira, Beatriz A. Santos, Gian Berardinelli, Haydée A. Cunha, Tatiana L. Bisi, José Lailson‐Brito Jr.   +10 more
wiley   +1 more source