Workshops
PlantCV and data science workshops materials. Our workshops are designed to be done in ~2 hours each.
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PlantCV workshops
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PlantCV Fundamentals: Single Plant Analysis
Learn the fundamentals of working with image data in Python and PlantCV.
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PlantCV Fundamentals: Multi-Plant Analysis
Learn the fundamentals of working with image data in Python and PlantCV to analyze multi-plant images.
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PlantCV Fundamentals: Hyperspectral Image Analysis
Learn the fundamentals of working with image data in Python and PlantCV to analyze hyperspectral images.
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PlantCV Fundamentals: Supervised Machine Learning
Learn the fundamentals of working with image data in Python and PlantCV to quantify disease symptoms using the naive Bayes classifier.
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Bean Phenotyping Lab
Learn how to collect standardized images, measure phenotypes, and train a machine learning classifier using beans.
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R workshops
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Data Visualization in RStudio
Learn the basics of data visualization using ggplot2 in R to plot single and multivariate data.
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Data Wrangling using tidyr & dplyr
Learn data science techniques using the packages tidyr and dplyr for data cleaning and reshaping.
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Statistics in R
Learn how to assess your experimental design and data types and choose appropriate statistical tests that help you assess your hypotheses.
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Statistical Power Analysis
Learn how to use power analysis as part of experimental design.
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Troubleshooting with examples in R
Learn how to troubleshoot by breaking problems down into smaller, testable units.
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Statistics in pcvr
Learn how to do non-linear modeling using the pcvr package.
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