An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping

标题
An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping
作者
关键词
High throughput field phenotyping, Image analysis, Machine learning, Canopy cover, Image segmentation, Color vegetation index, Light contrast
出版物
Plant Methods
Volume 13, Issue 1, Pages -
出版商
Springer Nature
发表日期
2017-03-21
DOI
10.1186/s13007-017-0168-4

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