Results 111 to 120 of about 3,068,607 (226)
Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
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
High-Performance Parallel Direct Georeferencing for Massive ULS LiDAR Measurements
The rapid increase in point density and acquisition rate of UAV laser scanning (ULS) systems has shifted the primary bottleneck of LiDAR workflows from data acquisition to post-processing, particularly during direct georeferencing of massive LiDAR ...
Mei Yu, Yuhao Zhou, Hua Liu, Bo Liu
doaj +1 more source
Direct georeferencing and orthorectification of airborne digital images
GPS/INS (Global Positioning System / Inertial Navigation System) bringspossibility of relaxing the demand for aerial triangulation in stereo modelconstruction and rectification. In this thesis a differential rectification algorithm isprogrammed with Matlab software for aerial frame camera images.
openaire +1 more source
WTO direct action convergence, Seattle, WA (nov. 20-28), registration application [verso]
Alternate title: DAN registration. Affiliated web page url: www.agitprop.org/artandrevolution/wto. Also sent out as document 6 of 19 in a Direct Action Network (DAN) organizing packet; these documents are contained in a 9 X 12 inch envelope stating ...
Direct Action Network (DAN)
core
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
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan +1 more
wiley +1 more source
Alternate title: Resist the World Trade Organization roadshow. Also sent out as document 12 of 19 in a Direct Action Network (DAN) organizing packet; these documents are contained in a 9 X 12 inch envelope stating approximately 50-100 organizing packets
Direct Action Network (DAN)
core
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
Direct Georeferencing in Aerial Photogrammetric Mapping
Aerial photogrammetric mapping is a well-established industry. Its methods have been evolving progressively but not explosively over many decades. Entrenched, reliable procedures have been developed to overcome pitfalls along the processing chain, allowing the delivery of high quality mapping products.
openaire +1 more source

