Automation of septoria disease image analysis using Python programming language.
Sławomir Bartosiak
s.bartosiak@ihar.edu.plInstytut 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
Keywords:
Python, automation, septoria, leaves, wheat, triticaleReferences
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Authors
Sławomir Bartosiaks.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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