Quantifying the Onset and Progression of Plant Senescence by Color Image Analysis for High Throughput Applications.

ABSTRACT: Leaf senescence, an indicator of plant age and ill health, is an important phenotypic trait for the assessment of a plant's response to stress. Manual inspection of senescence, however, is time consuming, inaccurate and subjective. In this paper we propose an objective evaluation of plant senescence by color image analysis for use in a high throughput plant phenotyping pipeline. As high throughput phenotyping platforms are designed to capture whole-of-plant features, camera lenses and camera settings are inappropriate for the capture of fine detail. Specifically, plant colors in images may not represent true plant colors, leading to errors in senescence estimation. Our algorithm features a color distortion correction and image restoration step prior to a senescence analysis. We apply our a

SUBMITTER: Cai J 

PROVIDER: S-EPMC4922665 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature