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. https://phys.org/news/2024-07-exemplar-based-generation-leaf-analysis.html