Results 121 to 130 of about 14,844 (255)

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

A Multi-UAV Cooperative Path-Planning Method for Complex Obstacle Environments. [PDF]

Sensors (Basel)
Wen L, Tan H, Liu Y, Zhao X, Xie S, Zhao B.   +5 more
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

Integrated Trajectory Planning, MEC Offloading, and Safety Coordination for Multi-UAV Disaster Response. [PDF]

Sensors (Basel)
Armoush R, Goudarzi S, Khan MN, Esfahani A.   +3 more
europepmc   +1 more source

Decentralized Coordination of a Multi-UAV System for Spatial Planar Shape Formations. [PDF]

Sensors (Basel), 2023
Petitprez E, Guérin F, Guinand F, Germain F, Kerthe N.   +4 more
europepmc   +1 more source

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accurate prediction of grain yield (GY) remains a major challenge in plant breeding due to complex interactions between genotype, environment, and management (G × E × M) factors. Remote sensing data from unmanned aerial vehicles (UAVs) equipped with multispectral sensors have emerged as a pivotal resource for high‐throughput phenotyping.
Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal   +8 more
wiley   +1 more source

Key technologies and prototype validation research of integrated sensing and communications for low altitude UAV

物联网学报
With the help of base station cellular networking, the integrated sensing and communications (ISAC) key technologies for 6G can communicate with low-altitude unmanned aerial vehicle (UAV) in a wide range of reliable low-time delay and large bandwidth ...
ZHAO Chuanbin, ZHANG Tengyu, FENG Yuan, LUO Dongqi, GAO Feifei   +4 more
doaj   +2 more sources

Distributed Event-Driven Bayesian Search for Multi-UAV Systems with Spatially Correlated Targets. [PDF]

Sensors (Basel)
Niu D, Yi P, Hong Y.
europepmc   +1 more source

Cooperative Positioning Method of a Multi-UAV Based on an Adaptive Fault-Tolerant Federated Filter. [PDF]

Sensors (Basel), 2023
Zhang P, Ma Z, He Y, Li Y, Cheng W.
europepmc   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source