Publications by authors named "Clement Barras"
Plant Phenomics
September 2024
Article Synopsis
- High-throughput phenotyping can streamline breeding cycles and reduce costs, focusing on biomass-related traits in soybean using UAV remote sensing and deep learning.
- In a 2018 field experiment with 198 soybean accessions, a convolutional neural network (CNN) was used to accurately estimate traits like dry weight and plant height from UAV-collected data.
- The study showed that deep learning could identify strong correlations between input data and phenotypic traits, highlighting the potential use of these insights in improving breeding practices.
