Fridays Hands-On: A Workshop Series in Data+Plant Sciences
Invited specialists will introduce the different applications and approaches in plant phenomics. The main focus is data management and analysis - often the most challenging part of digital phenotyping. Each workshop will include a short theoretical introduction followed by practical data analysis, where the instructors will guide the audience through available and open-source data, tools, and codes. The information provided with this form will be used for sharing materials necessary for the workshop activities (e.g., schedule, requirements for the workshops), as well as to get statistics on the audience that can help us organize future events in Phenomics.
Country and State (e.g. US/Wisconsin)
Choose the most appropriate (choose one)
Affiliation (university, group, party, company, etc.)
Working crop (one or more)
Legumes (e.g., soybean)
Cereals (e.g., rice, wheat, corn, etc.)
Horticultural Crops (e.g., potato, tomato, etc.)
Small fruits (e.g., strawberry, blueberry, etc.)
Fruit and nut tree crops
What is your level of knowledge about data analysis and phenotyping (choose one)?
Which analysis are you most interested in (one or more)?
Images from fields (UAV platforms: e.g. drones)
Build phenotyping platforms
Preferred programing language (one or more)
Select workshops that you have interest to attend (one or more)
FIELDimageR pipeline: Image analyses applied to plant breeding
Quantizing and Quantifying Fruit and Leaf Shape in the Latent Space Using R
Conducting semantic segmentation on plant hyperspectral images using Python scikit-learn machine learning library.
Mr.Bean: An R-Shiny Web Application for the Analysis of Plant Breeding Experiments
Getting Started with WebODM: An Open-Source Solution to Your Mapping Problems
An introduction to image analysis workflows with PlantCV
Introduction to Tidymodels
Getting started with ImageBreed: Managing and storing drone imagery
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