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Reliability and accuracy of visual methods to quantify severity of foliar bacterial spot symptoms on peach and nectarine
S. J. Bardsley, H. K. Ngugi
Plant Pathology and Environmental Microbiology
Research output
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Contribution to journal
›
Article
›
peer-review
60
Scopus citations
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Dive into the research topics of 'Reliability and accuracy of visual methods to quantify severity of foliar bacterial spot symptoms on peach and nectarine'. Together they form a unique fingerprint.
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Keyphrases
Bacterial Spot
100%
Bootstrap Analysis
33%
Computer-based Training
33%
Concordance Analysis
33%
Concordance Rate
33%
Direct Estimation
66%
Disease Assessment
33%
Disease Estimate
66%
Disease Severity
66%
Disease Symptoms
33%
Equivalence Testing
33%
Experience Level
33%
Experienced Raters
33%
Foliar
100%
Image Analysis Software
33%
Interval Scale
66%
Intrinsic Ability
33%
Leaf Area
33%
Peach
100%
Prunus
33%
Rating Scales
33%
Reliable Estimate
33%
Scale Estimation
33%
Severity Level
33%
Visual Methods
100%
Engineering
Continuous Variable
100%
Image Analysis
100%
Severity Level
100%
Pharmacology, Toxicology and Pharmaceutical Science
Disease Severity
50%
Diseases
100%
Peach
100%
Agricultural and Biological Sciences
Nectarine
100%
Xanthomonas arboricola
33%