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
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