Fridays Hands-On: A Workshop Series in Data+Plant Sciences

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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.

First Name *

Last Name *

E-mail *

Country and State (e.g. US/Wisconsin) *

Choose the most appropriate (choose one)

Student

Postdoc

Faculty

Grower/Farmer

Data Scientist

Other:

Clear selection

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.)

Pulse crops

Forages

Forest trees

Small fruits (e.g., strawberry, blueberry, etc.)

Fruit and nut tree crops

Other:

Required

What is your level of knowledge about data analysis and phenotyping (choose one)? *

Beginner

Intermediate

Advanced

Which analysis are you most interested in (one or more)? *

Images from fields (UAV platforms: e.g. drones)

Seed images

Root images

Machine learning

Artificial intelligence

Build phenotyping platforms

Time-lapse images

Other:

Required

Preferred programing language (one or more) *

Python

C++

Java

Perl

Ruby

Other:

Required

Select workshops that you have an 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

Leaf-level hyperspectral reflectance to rapidly estimate plant chemical traits

Getting started with ImageBreed: Managing and storing drone imagery

Root scanning and image analysis using RhizoVision Explorer

Required

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