Arti Singh

This paper defines the growth stages of mungbean using the BBCH scale, providing a standardized tool for crop management and simulation models.

The paper uses AI-assisted image phenotyping to analyze pod traits in mungbean, identifies SNPs associated with pod morphology, and demonstrates improved genomic prediction accuracy.

This study uses aerial imagery to phenotype iron deficiency chlorosis in soybean and performs GWAS to identify SNPs associated with IDC tolerance.

This study performs a meta-GWAS on soybean data to identify quantitative trait loci (QTL) associated with various traits, finding 483 QTL at 393 unique loci and 66 candidate genes.