This is a research repository for a paper entitled "A UAV-based high-throughput phenotyping approach to assess time-series nitrogen responses and identify trait-associated genetic components in maize" on bioRxiv.
- Individual UAV images (a) were used to generate an orthomosaic model (b) using Pix4D and Plot Phenix software.
- The partitioned genotypes (c) were extracted from the original UAV images by Plot Phenix, generating multiple replicates per plot.
- These images were then filtered using binary masks (d) to remove non-foliage pixels (e).
- The resulting images were then processed using a variety of vegetation indices to calculate average greenness ratings for each genotype at the point in the growing season the images were collected (f).
- The
Matlab
scripts for conducting the above analysis can be found inlib/
with some input exampleslib/input_examples
Some of the main figures can be reproduced using the following code:
doc/fig2_cc_check.Rmd
doc/fig3A.Rmd
doc/fig3B.Rmd
-
To guide visitors having a better sense about the project layout, here we briefly introduce the specific purposes of the dir system. The layout of dirs is based on the idea borrowed from ProjectTemplate.
-
The guideline for the collaborative workflow.
-
Check out progress and things to-do and throw ideas via the wiki page.
This is a research project. It was intended for internal lab usage. It has not been extensively tested. Use at your own risk. It is a free and open source software, licensed under GPLv3.