From 66f9ae6f1a1d802d9584eda96927b80f282f728b Mon Sep 17 00:00:00 2001 From: Jenna Hershberger Date: Mon, 15 Jul 2024 12:22:22 -0400 Subject: [PATCH] ImageBreed edits JH --- content/03.01.04.Image_Breed.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/content/03.01.04.Image_Breed.md b/content/03.01.04.Image_Breed.md index 479b4a4..bc9abca 100644 --- a/content/03.01.04.Image_Breed.md +++ b/content/03.01.04.Image_Breed.md @@ -1,5 +1,7 @@ #### ImageBreed -[ImageBreed](https://imagebreed.org/) [@doi:10.1002/ppj2.20004] is an image collection pipeline tool to support regular use of UAVs and UGVs. High-throughput phenotyping has been gaining significant traction lately as a way to collect lots of data very quickly. Image collection from unmanned aerial and ground vehicles (UAVs and UGVs) are a great way to collect a lot of raw data all at once, then analyze it later. - -When the raw images have been processed through the standardization pipelines in ImageBreed, useful phenotypes can be extracted from the images. The BrAPI standard is used to push these phenotypes back to a central breeding database where they can be analyzed with other data. In addition to this, ImageBreed has the ability to use BrAPI to upload the raw images to the central breeding database, or any other BrAPI compatible long term storage service. In the current version of the standard (V2.1), the BrAPI data models for images are rudimentary, but effective. The ImageBreed team has put in some work into enhancing the BrAPI image data standards, collaborating with others in the community. +Unoccupied aerial and ground vehicles (UAVs and UGVs) enable the high throughput collection of images and other sensor data in the field, but the rapid processing and management of these data is often a bottleneck for breeding programs seeking to deploy these technologies for time-sensitive decision making. +[ImageBreed](https://imagebreed.org/) [@doi:10.1002/ppj2.20004] is an open-source, BrAPI-compliant image processing tool that supports the routine use of UAVs and UGVs in breeding programs through standardized pipleines. +It creates orthophotomosaics, applies filters, assigns plot polygons, and extracts ontology-based phenotypes from raw UAV-collected images. +The BrAPI standard is used to push these phenotypes back to a central breeding database where they can be analyzed with other experiment data. +The ImageBreed team has collaborated with others in the community to enhance the BrAPI image data standards, which it uses to upload raw images to a central breeding database, or any other BrAPI-compatible long term storage service.