Results 141 to 150 of about 5,093 (259)

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

open access: yesThe 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   +3 more
wiley   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky   +2 more
wiley   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham   +10 more
wiley   +1 more source

A Spatial Clustering Approach of Economic Activities: An Application to the Agribusiness Sector in Brazil's Midwest Region

open access: yesGeographical Analysis, Volume 58, Issue 4, October 2026.
ABSTRACT The spatial distribution of economic activities is central to regional economics. However, empirical tools for comparing industries based on the similarity of their spatial distributions remain limited. Traditional cluster analysis typically ignores geographical distance and connectivity, while spatial methods focus on clustering places rather
Gilvan Santos do Rosario Junior   +2 more
wiley   +1 more source

Improving Truck Driver Turnover Predictions With Survival Stacking and Reference‐Dependent Covariates

open access: yesJournal of Business Logistics, Volume 47, Issue 4, October 2026.
ABSTRACT The U.S. motor carrier industry has suffered from high driver turnover rates for decades. The need is high for developing techniques that enable carriers to predict the turnover risk (quit probability) of each driver for each time period, as they can provide timely warnings to carriers regarding which drivers are about to quit, allowing ...
Yoshinori Suzuki
wiley   +1 more source

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