Results 171 to 180 of about 62,523 (275)
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 +16 more
wiley +1 more source
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison +4 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
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
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
Composite disturbance observer-based sliding mode control strategies for unmanned surface vehicles with unmatched disturbances. [PDF]
Su Y, Gong C, Li Z, Zhang D.
europepmc +1 more source
ABSTRACT The presence of the franciscana (Pontoporia blainvillei) at the northern limit of the FMA II was investigated using a range of methods, including monitoring of strandings, boat surveys, and passive acoustic monitoring (PAM). Franciscana strandings were recorded within the distributional gap between Macaé (22°55′ S) and Ilha Grande (23°09′ S ...
Alexandre F. Azevedo +10 more
wiley +1 more source
A Hybrid <i>θ</i>*-APF-Q Framework for Energy-Aware Path Planning of Unmanned Surface Vehicles Under Wind and Current. [PDF]
Sun X, Dong Z, Chen X, Sun L, An Y.
europepmc +1 more source
Developing a simple soil erosion model including spatial variability in headwater catchments
Abstract Hillslopes and stream channels are tightly linked in headwater catchments, where soil erosion on slopes is transported to channels depending on topography, soil properties, and ground cover conditions. Because these environments are highly spatially variable, geographic information system (GIS)‐based modeling approaches are effective for ...
Binyam Alemu Yosef +4 more
wiley +1 more source
Abstract Vegetation indices (VIs), such as normalized difference vegetation index (NDVI), are widely used to assess nitrogen (N) status in crop systems and are gaining interest in turfgrass management. However, most studies have been conducted in controlled settings, and their relevance under real‐world golf course conditions remains unclear.
Madan Sapkota +7 more
wiley +1 more source

