Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
Volume: 154, Pages: 1 - 9
Published: Aug 1, 2019
Abstract
Image analysis using proximal sensors can help accelerate the selection process in plant breeding and improve the breeding efficiency. However, the accuracies of extracted phenotypic traits, especially those that require image classification, are affected by the pixel size in images. Ground coverage (GC), the ratio of projected to ground vegetation area to total land area, is a simple and important trait to monitor crop growth and development...
Paper Details
Title
Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
Published Date
Aug 1, 2019
Volume
154
Pages
1 - 9
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History