Results 151 to 160 of about 14,844 (255)

flexFitR and exploreHTP: Open‐source software to enable nonlinear modeling of plant growth from remote‐sensing imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In this study, we introduce two complementary R packages: exploreHTP and flexFitR. exploreHTP is a Shiny‐based graphical interface for extracting plot‐level data from remote‐sensing imagery, while flexFitR provides tools for nonlinear model‐fitting and trait derivation from time series.
Johan Steven Aparicio, Chelang'at Sitonik, Jeffrey B. Endelman   +2 more
wiley   +1 more source

Safe Cooperative Decision-Making for Multi-UAV Pursuit-Evasion Games via Opponent Intent Inference. [PDF]

Sensors (Basel)
Li W, Feng Y, Zhang W.
europepmc   +1 more source

Task Assignment Optimization in Multi-UAV-Assisted WSNs Considering Energy Budget and Sensor Distribution Characteristics. [PDF]

Sensors (Basel), 2023
Xie Q, Zhao W, Liu C, Peng L.
europepmc   +1 more source

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

MILUV: A Multi-UAV Indoor Localization dataset with UWB and Vision. [PDF]

Int J Rob Res
Shalaby MA, Dahdah N, Ahmed SS, Cossette CC, Le Ny J, Forbes JR.   +5 more
europepmc   +1 more source

Phenomic prediction I: Plot‐level prediction of lodging severity in sorghum breeding trials using UAV‐based photogrammetric height data

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri, Sean Reynolds Massey‐Reed, Andries Potgieter, Kenneth Laws, Colleen Hunt, Esinam Nancy Amuzu‐Aweh, Mark Cooper, Emma Mace, David Jordan   +8 more
wiley   +1 more source

Perception-Aware Cooperative Path Planning for Multi-UAV Systems in Urban Wind Fields via Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Ding J, Wang L, Jin S, Wang D.
europepmc   +1 more source

Retracted: Heterogeneous Multi UAV Mission Planning Based on Ant Colony Algorithm Powered BP Neural Network. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman, Quazi Mamun, Michael Bewong, Md Zahidul Islam   +3 more
wiley   +1 more source

Correction: Zhang et al. A Robust CS-DOA Method for Multi-UAV-Assisted Agricultural Vehicle Localization in Smart Tillage. <i>Sensors</i> 2026, <i>26</i>, 5377. [PDF]

Sensors (Basel)
Zhang J, Ma N, Li H, Wang Y, Zhang X, Lu Z, Li L, Chen H, Zhang Y.   +8 more
europepmc   +1 more source