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 +9 more
wiley +1 more source
From Geometric Exploration to Semantic Completion: Scene Exploration Convolution and Large Format Perception for Adverse-Weather UAV Aerial Object Detection. [PDF]
Zhao Y, Wang B, Zhan J.
europepmc +1 more source
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 +7 more
wiley +1 more source
A 33 GHz Conformal Phased-Array Radar with Linearly Constrained Minimum Variance Digital Beamforming, Circular- Polarization Filtering, and Neural-Network Micro-Doppler Classification for Counter-UAS Applications. [PDF]
Baginski M.
europepmc +1 more source
Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials
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 +7 more
wiley +1 more source
Autonomous UAV Target Search Method Based on Lightweight YOLOv8n and Coverage Path Planning. [PDF]
Duan H, Wang Z, Li M, He Z, Zhang H.
europepmc +1 more source
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 +8 more
wiley +1 more source
Dynamic guidance control for UAV landing on autonomous surface vessel. [PDF]
Lin CY, Tseng YC, Yao WS.
europepmc +1 more source
ASCA-YOLO: Adaptive Sparse and Context-Aware YOLO Algorithm for Forest Wildfire Detection. [PDF]
Hao Y, Wang K, Zhang L, Yuan Z.
europepmc +1 more source
GeoFusion-3D: Multi-Scale Geomorphic Feature Fusion for Landslide Scar Detection Using UAV-Mounted LiDAR. [PDF]
Shrivastava A, Gupta S, Obradovic Z.
europepmc +1 more source

