Now showing items 1-10 of 10
Prediction of count phenotypes using high-resolution images and genomic data
(Genetics Society of America, 2021)
Use of hyperspectral image data outperforms vegetation indices in prediction of maize yield
(Crop Science Society of America (CSSA), 2017)
Hyperspectral cameras can provide reflectance data at hundreds of wavelengths. This information can be used to derive vegetation indices (VIs) that are correlated with agronomic and physiological traits. However, the data ...
UAV-based imagery for phenotyping in breeding and physiological pre-breeding of wheat at CIMMYT
(CIMMYT; IWYP, [2016?])
High-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging
(BioMed Central, 2018)
Background: Grain yield, ear and kernel attributes can assist to understand the performance of maize plant under different environmental conditions and can be used in the variety development process to address farmer's ...
High-throughput phenotyping of canopy cover and senescence in maize field trials using aerial digital canopy imaging
In the crop breeding process, the use of data collection methods that allow reliable assessment of crop adaptation traits, faster and cheaper than those currently in use, can significantly improve resource use efficiency ...