High throughput phenotyping in soybean breeding using RGB image vegetation indices based on drone
Abstract This study investigates the effectiveness of high-throughput phenotyping (HTP) using RGB images from unmanned aerial vehicles (UAVs) to assess vegetation indices (VIs) in different soybean pure lines. The VIs were accessed at various stages of crop development and correlated with agronomic...
Saved in:
Main Authors: | Andressa K. S. Alves, Maurício S. Araújo, Saulo F. S. Chaves, Luiz Antônio S. Dias, Lucas P. Corrêdo, Gabriel G. F. A. Pessoa, André R. G. Bezerra |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-12-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-83807-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-Throughput Phenotyping for Agronomic Traits in Cassava Using Aerial Imaging
by: José Henrique Bernardino Nascimento, et al.
Published: (2024-12-01) -
Plant height measurement using UAV-based aerial RGB and LiDAR images in soybean
by: Lalit Pun Magar, et al.
Published: (2025-01-01) -
High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds
by: S. Bovo, et al.
Published: (2025-01-01) -
High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
by: Tao Cheng, et al.
Published: (2025-03-01) -
Next-generation sequencing in soybean breeding and genetic research
by: M. T. Menkov, et al.
Published: (2025-01-01)