2024年9月9日 · High-throughput phenotyping serves as a framework to reduce chronological costs and accelerate breeding cycles. In this study, we developed models to estimate the …

2022年2月1日 · Soybean can be seen as model crop to test the benefit of novel phenotyping methods in breeding. This study has clearly shown that HTFP methods can be enormously …

2021年5月5日 · To efficiently tackle individual soybean seed quick segmentation for high-throughput soybean seeds phenotype data extraction at individual seed level, we propose a …

Here, we summarize past achievements in the areas of soybean omics, functional genomics, and molecular breeding. Furthermore, we analyze trends in these areas, including shortages and …

2021年7月18日 · Deep learning in soybean phenotyping: Machine learning algorithms were a promising approach for deriving useful information from plant phenotype data. Recent …

Yield Prediction: We fuse high dimensional phenomics data with ML approaches to provide plant breeders needed tools for in-season seed yield prediction. These include short and long term …

In this context, the identification of the most important spectral variables for the selection of more flooding-tolerant soybean genotypes is a primary demand within plant phenomics, with faster …

2024年3月20日 · In this study, we collected 200 typical soybean varieties from the northeast region of China and utilized UAVs to gather multisource phenotypic data. To overcome the …

2025年2月19日 · Genomic prediction (GP) has been used in commercial soybean [Glycine max L. (Merr.)] breeding programs to predict grain yield and seed composition traits. Phenomic …

2024年3月20日 · High-throughput phenotyping methods based on unmanned aerial vehicle (UAV) systems can be used to monitor and quantitatively describe the development of soybean …