Automation of septoria disease image analysis using Python programming language.

Sławomir Bartosiak

s.bartosiak@ihar.edu.pl
Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Zakład Fitopatologii, Pracownia Hodowli Odpornościowej (Poland)
https://orcid.org/0000-0001-6869-6495

Abstract

Septoria disease severity assessment is time consuming and laborious task. In this paper a computational detection of diseased and healthy leaf tissue using simple software developed in Python programming language was discussed. Software automate labels reading from digital images and facilitates septoria disease severity examination. Program extracts each leaf from input image,  examine septoria severity and summarizes results, thus there is the possibility for outliers elimination, thereby minimizing experimental error.

Supporting Agencies

none

Keywords:

Python, automation, septoria, leaves, wheat, triticale

Easlon H. M. and Bloom A. J. 2014. Easy leaf area: automated digital image analysis for rapid and accurate measurement of leaf area. Applications in Plant Sciences. 2 (7): 1400033.
Google Scholar

Rueden C. T., Schindelin J., Hiner M. C., DeZonia B. E., Walter A. E., Arena E. T. and Eliceiri K. W. 2017. ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics 18:529.
Google Scholar

Singh V., Misra A. K. 2017. Detection of plant leaf diseases using image segmentation and soft computing techniques. Information Processing in Agriculture (4) 41–49.
Google Scholar

Thomas S., Behmann J., Steier A., Kraska T., Muller O., Rascher U. and Mahlein A. K. 2018. Quantitative assessment of disease severity and rating of barley cultivars based on hyperspectral imaging in a non-invasive, automated phenotyping platform. Plant Methods 14:45.
Google Scholar


Published
2020-10-22

Cited by

Bartosiak, S. (2020) “Automation of septoria disease image analysis using Python programming language”., Bulletin of Plant Breeding and Acclimatization Institute, (289), pp. 31–35. doi: 10.37317/biul-2020-0019.

Authors

Sławomir Bartosiak 
s.bartosiak@ihar.edu.pl
Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Zakład Fitopatologii, Pracownia Hodowli Odpornościowej Poland
https://orcid.org/0000-0001-6869-6495

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Copyright (c) 2020 Sławomir Bartosiak

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