Exemplar-based data generation and leaf-level analysis for phenotyping drought-stressed poplar saplings

A research team has developed a novel method combining computer vision and deep learning to phenotype drought-stressed poplar saplings, achieving 99% accuracy in variety identification and 76% accuracy in stress-level classification.