Results 131 to 140 of about 8,426 (244)

UAV‐Based Remote Sensing Volume 2

, 2018
ctive technological development has fuelled rapid growth in the number of Unmanned Aerial Vehicle (UAV) platforms being deployed around the globe. Novel UAV platforms, UAV-based sensors, robotic sensing and imaging techniques, the development of processing workflows, as well as the capacity of ultra-high temporal and spatial resolution data, provide ...
Felipe Gonzalez Toro (Ed.), Antonios Tsourdos (Ed.)   +1 more
openaire   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

PHSNet: A Small-Target Infrared Hotspot Detection Network for Photovoltaic Modules in UAV Remote-Sensing Images. [PDF]

J Imaging
Gao B, Yang Y, Chen X, Cai X, Nan X.
europepmc   +1 more source

Research on weed identification method in rice fields based on UAV remote sensing. [PDF]

Front Plant Sci, 2022
Yu F, Jin Z, Guo S, Guo Z, Zhang H, Xu T, Chen C.   +6 more
europepmc   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

HF-NeRF: UAV remote sensing image reconstruction via height-augmented representation and frequency-adaptive sampling. [PDF]

Sci Rep
Wu S, Chen X, Ye C, Chen Z, Wu X.
europepmc   +1 more source

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering. [PDF]

Front Plant Sci, 2023
Camenzind MP, Yu K.
europepmc   +1 more source

Insights into biomass accumulation and challenges in grain yield prediction of elite breeding materials using UAV‐based vegetation indices in soft red winter wheat

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract High‐throughput phenotyping (HTP) techniques have brought new opportunities to understand and evaluate key traits in plant breeding programs. Combining multiple measures through time and random regression models permits a more comprehensive understanding of the genetic and environmental effects on trait expression over time. This study aims to
Felipe Sabadin, Amelia Loeb, Francis Reith, Alexis Perry, Sunilda Frias, Demetrius Ragland, Limei Liu, Wynse Brooks, Ranjita Thapa, Julie Hansen, Christopher Pierce, Virginia M. Moore, Gina Brown‐Guedira, Ian Ray, Michael A. Gore, Kelly Robbins, Nicholas Santantonio   +16 more
wiley   +1 more source

Fine-grained identification of tea plantation parcels in UAV remote sensing images based on DVIT-UNet. [PDF]

PLoS One
Liu Y, Xiao P, Zhou Y, Li D, Gao B.
europepmc   +1 more source

Semantic segmentation of UAV remote sensing images based on edge feature fusing and multi-level upsampling integrated with Deeplabv3. [PDF]

PLoS One, 2023
Li X, Li Y, Ai J, Shu Z, Xia J, Xia Y.
europepmc   +1 more source