High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis

Rousseau, Céline; Belin, Étienne; Bove, Edouard; Rousseau, David; Fabre, Frédéric; Berruyer, Romain; Guillaumès, J.; Manceau, Charles; Agnès Jacques, Marie; Boureau, Tristan

doi:10.1186/1746-4811-9-17

Public

High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis

Published in Plant Methods • Jun 13, 2013

Authors:

Céline Rousseau

Étienne Belin

Edouard Bove

Abstract

BACKGROUND: In order to select for quantitative plant resistance to pathogens, high throughput approaches that can precisely quantify disease severity are needed. Automation and use of calibrated image analysis should provide more accurate, objective and faster analyses than visual assessments. In c...

Subject

Thresholding

Pixel

Artificial intelligence

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