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. 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. Molecular & Computational biology Agriculture Phys.org – latest science and technology news stories
Exemplar-based data generation and leaf-level analysis for phenotyping drought-stressed poplar saplings
