wheat

Early estimation of glutelin to gliadin ratio in wheat grain using high-dimensional and hyperspectral reflectance
Precise and timely estimation of the glutelin-to-gliadin ratio (Glu/Gli) in wheat grain is pivotal for crop monitoring, as it is a …
DOI
Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data
Aboveground biomass (AGB) of plants is an agroecological indicator that can be used to monitor crop growth status and quantify biomass …
DOI
Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data
Climate change enhances stability of wheat-flowering-date
The stability of winter wheat-flowering-date is crucial for ensuring consistent and robust crop performance across diverse climatic …
DOI
A Generic Model to Estimate Wheat LAI over Growing Season Regardless of the Soil-Type Background
It is valuable to develop a generic model that can accurately estimate the leaf area index (LAI) of wheat from unmanned aerial …
DOI
Scales of development for wheat and barley specific to either single culms or a population of culms
Accurate assessment of plant development is essential for agronomic management and scientific research, and crop development scales …
DOI
Responses of wheat kernel weight to diverse allelic combinations under projected climate change conditions
Introduction: In wheat, kernel weight (KW) is a key determinant of grain yield (GY). However, it is often overlooked when improving …
DOI
A cultivar phenology classification scheme for wheat and barley
The relative time to maturity of grain crops is an important consideration for producers, yet there are no universally accepted …
DOI
Increased wheat price spikes and larger economic inequality with 2°C global warming
Climate change poses complex impacts on the global wheat supply and demand chain. The impacts of climate change on average wheat yields …
DOI
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
High-throughput phenotyping has become the frontier to accelerate breeding through linking genetics to crop growth estimation, which …
DOI
Unsupervised Plot-Scale LAI Phenotyping via UAV-Based Imaging, Modelling, and Machine Learning
Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning
A major challenge for the estimation of crop traits (biophysical variables) from canopy reflectance is the creation of a high-quality …
DOI
Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning