Kee Woei Ng

Designed nutrient-gradient phenotyping enables predictive ionomics of tropical leafy greens

The paper uses a designed nutrient-gradient framework and machine learning to predict leaf ionome in tropical crops, achieving high predictive accuracy across unseen conditions.

Harnessing Smartphone RGB Imagery and LiDAR Point Cloud for Enhanced Leaf Nitrogen and Shoot Biomass Assessment - Chinese Spinach as a Case Study

This study uses smartphone RGB imagery and LiDAR data to accurately estimate leaf nitrogen concentration and shoot biomass in Chinese spinach, with low error rates.

Nitrogen ionome dynamics on leafy vegetables in tropical climate

This study examines how nitrogen application affects physiological traits and mineral composition in leafy vegetables under tropical conditions, finding optimal nitrogen levels and mineral uptake dynamics.