Results 171 to 180 of about 64,798 (259)

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

open access: yesThe 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   +16 more
wiley   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
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

Developing a simple soil erosion model including spatial variability in headwater catchments

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 2, June 2026.
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

Context‐aware UAV LiDAR reveals forest structure and improves tree diameter estimates in subalpine forest

open access: yesEcological Solutions and Evidence, Volume 7, Issue 2, April–June 2026.
In this study we show how, in natural forests, tree heights adapt across environmental gradients as a response to environmental and biotic factors. Awareness of such local adaptations can be encoded into predictive features and leveraged by shallow learning methods to enhance predictions of tree diameter and tree‐level aboveground biomass.
Jaime C. Revenga   +7 more
wiley   +1 more source

Improving Power Generation in Rigid‐Wing Groundgen Airborne Wind Energy Systems Using Feedback Control—A Parametric Study

open access: yesWind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT This paper explores different reel‐out strategies in a simulated environment to improve the power generation capability of Kitemill's KM1 prototype. The KM1 is a rigid‐wing groundgen airborne wind energy system that flies in circular loops during its power production phase. Firstly, we investigate the impact of flight and ground winch control.
Duc H. Nguyen   +2 more
wiley   +1 more source

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