Talukder Zaki Jubery

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 compares nanoscale mechanical properties of cotton fibers between two species and develops machine learning models to predict phenotypic traits using multi-omics data.

This study uses data-driven methods to analyze hyperspectral leaf reflectance data from maize plants, identifying genetic markers correlated with reflectance patterns and chlorophyll content.

This study measures how maize root hydraulic traits change under water stress in a hydroponic system, finding reduced root area and increased permeability.