TERRA-REF Documentation
WebsiteGitHubTutorials
Primary version
Primary version
  • Introduction
  • Scientific Objectives
  • Experimental Design
    • The Maricopa Agricultural Center (MAC)
    • Controlled Environment Phenotyping
    • Genomics
  • Data
    • How to Access Data
    • Data Products
      • Environmental conditions
      • Phenotype Data
      • Genomics data
      • Fluorescence intensity imaging
      • Geospatial information
      • Hyperspectral imaging data
      • Infrared heat imaging data
      • Meteorological data
      • Point Cloud Data
      • Controlled Environment phenotype data
    • Data Use Policy
    • Manuscripts and Authorship Guidelines
  • Protocols
    • Field Scanner
    • Sensor Calibration
    • Hyperspectral Data
    • Controlled Environment Protocols
    • Manual Field Data Protocols
    • Phenotractor Protocols
    • UAV Protocols
    • Genomic Protocols
  • Technical Documentation
    • Software
    • Data Standards
      • Existing Data Standards
      • Agronomic and Phenotype Data Standards
      • Genomic Data Standards
      • Sensor Data Standards
      • Data Standards Committee
    • Data Product Levels
    • Directory Structure
    • Data Transfer
    • Data Processing Pipeline
    • Time Series Data in Geostreams
    • Data Backup
    • Systems Configuration
  • Code of Conduct
  • Appendix
    • Glossary
    • Accessing BETYdb with GIS Software
  • References
  • Archived Documentation
    • Developer Manual
      • Submitting data to Clowder
      • Submitting data to BETYdb
      • Submitting Data to CoGe
      • Developing Clowder Extractors
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  • About this book
  • About TERRA-REF
  • Users
  • Contact Info and More
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Introduction

NextScientific Objectives

Last updated 4 years ago

About this book

This book describes the TERRA-REF data collection, computing, and analysis pipelines. The following links provide quick access to:

  • (external)

About TERRA-REF

The ARPA-E-funded Transportation Energy Resources from Renewable Agriculture Phenotyping Reference Platform (TERRA-REF) program aims to transform plant breeding by using remote sensing to quantify plant traits such as plant architecture, carbon uptake, tissue chemistry, water use, and other features to predict the yield potential and stress resistance of 300+ diverse Sorghum lines.

The data storage and computing system provides researchers with access to the reference phenotyping data and analytics resources using a high performance computing environment. The reference phenotyping data includes direct measurements and sensor observations, derived plant phenotypes, and genetic and genomic data.

Our objectives are to ensure that the software and data in the reference data and computing pipeline are interoperable, reusable, extensible, and understandable. Providing clear definitions of common formats will make it easier to analyze and exchange data and results.

We have a large and diverse team - and an even larger community of contributors. See .

Users

This documentation is intended to enable a wide variety of user-groups to use and contribute to the datasets and tools contained in the TERRA-REF platform, including:

  • Plant Physiologists interested in finding data and contributing phenotyping protocols. Relevant sections include the and .

  • Computer/Data Scientists looking for computer vision and machine learning problems. See a complete list of and .

  • Engineers, Developers and Institutional IT looking for infrastructure required to turn big data into scientific understanding. See an overview of the used, the and . Note: ongoing pipeline development has migrated to .

Contact Info and More

  • Email:

    • David LeBauer (Data / Computing Lead): dlebauer@arizona.edu

    • Nadia Shakoor (Project Director): nshakoor@danforthcenter.org

    • Todd Mockler (Principal Investigator): tmockler@danforthcenter.org

Slack ()

Github organization that includes repositories containing algorithms as well as discussions, documentation, and other tools. Key repositories include:

Data products repository

Computational Pipeline repository

Website:

Documentation

The entire team:

Available Data
How to access data
Hands on tutorials
terraref.org/team
scientific objectives
protocols
data products
how to access data
software
developer manual
technical documentation
https://agpipeline.github.io/
signup
terra-ref.slack.com
github.com/terraref
github.com/terraref/reference-data
discussions, bug reports, and feature requests
github.com/terraref/computing-pipeline
discussions, bug reports, and feature request
terraref.org
docs.terraref.org
terraref.org/team