New deep learning model sharpens accuracy in wheat spike counting
By optimizing growth-stage selection and introducing an improved YOLOX-P model, the study achieved precision levels above 95% while…
3D imaging reveals genetic basis of sorghum leaf patterns
By reconstructing 366 sorghum plants from calibrated images, the team showed that automated measurements achieved near-human repeatability and…
UAV phenotyping reveals genetic drivers of cotton plant architecture
This approach not only offers a faster and more accurate way to measure plant traits in the field…
Drones and 3D nodels unlock new genetic insights into wheat plant height
By capturing multiple height quantiles rather than a single average, the approach reveals subtle variations within crop plots,…
Drones and 3D nodels unlock new genetic insights into wheat plant height
By capturing multiple height quantiles rather than a single average, the approach reveals subtle variations within crop plots,…
Merging genes, models, and climate: a new approach to predicting rice flowering
The study integrated three rice growth models (ORYZA, CERES-Rice, and RiceGrow), genome-wide association studies (GWAS), and climate indices.…
Uncovering the secrets of maize roots: high-throughput phenotyping reveals genetic drivers of growth
By combining image-based phenotyping with gene expression analysis, the research reveals significant variability in root morphology and transcriptional…
Uncovering the secrets of maize roots: high-throughput phenotyping reveals genetic drivers of growth
By combining image-based phenotyping with gene expression analysis, the research reveals significant variability in root morphology and transcriptional…