TERRA-REF data processing infrastructure

Maxwell Burnette, Gareth S. Rohde, Noah Fahlgren, Vasit Sagan, Paheding Sidike, Rob Kooper, Jeffrey A. Terstriep, Todd Mockler, Pedro Andrade Sanchez, Rick Ward, J. D. Maloney, Craig Willis, Maria Newcomb, Nadia Shakoor, David LeBauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The Transportation Energy Resources from Renewable Agriculture Phenotyping Reference Platform (TERRA-REF) provides a data and computation pipeline responsible for collecting, transferring, processing and distributing large volumes of crop sensing and genomic data from genetically informative germplasm sets. The primary source of these data is a field scanner system built over an experimental field at the University of Arizona Maricopa Agricultural Center. The scanner uses several different sensors to observe the field at a dense collection frequency with high resolution. These sensors include RGB stereo, thermal, pulse-amplitude modulated chlorophyll fluorescence, imaging spectrometer cameras, a 3D laser scanner, and environmental monitors. In addition, data from sensors mounted on tractors, UAVs, an indoor controlled-environment facility, and manually collected measurements are integrated into the pipeline. Up to two TB of data per day are collected and transferred to the National Center for Supercomputing Applications at the University of Illinois (NCSA) where they are processed.

Original languageEnglish (US)
Title of host publicationPractice and Experience in Advanced Research Computing 2018
Subtitle of host publicationSeamless Creativity, PEARC 2018
PublisherAssociation for Computing Machinery
ISBN (Print)9781450364461
DOIs
StatePublished - Jul 22 2018
Event2018 Practice and Experience in Advanced Research Computing Conference: Seamless Creativity, PEARC 2018 - Pittsburgh, United States
Duration: Jul 22 2017Jul 26 2017

Other

Other2018 Practice and Experience in Advanced Research Computing Conference: Seamless Creativity, PEARC 2018
CountryUnited States
CityPittsburgh
Period7/22/177/26/17

Fingerprint

Energy resources
Agriculture
Sensors
Pipelines
Chlorophyll
Unmanned aerial vehicles (UAV)
Crops
Spectrometers
Fluorescence
Cameras
Imaging techniques
Lasers
Processing

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Burnette, M., Rohde, G. S., Fahlgren, N., Sagan, V., Sidike, P., Kooper, R., ... LeBauer, D. (2018). TERRA-REF data processing infrastructure. In Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018 [a27] Association for Computing Machinery. https://doi.org/10.1145/3219104.3219152

TERRA-REF data processing infrastructure. / Burnette, Maxwell; Rohde, Gareth S.; Fahlgren, Noah; Sagan, Vasit; Sidike, Paheding; Kooper, Rob; Terstriep, Jeffrey A.; Mockler, Todd; Andrade Sanchez, Pedro; Ward, Rick; Maloney, J. D.; Willis, Craig; Newcomb, Maria; Shakoor, Nadia; LeBauer, David.

Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018. Association for Computing Machinery, 2018. a27.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Burnette, M, Rohde, GS, Fahlgren, N, Sagan, V, Sidike, P, Kooper, R, Terstriep, JA, Mockler, T, Andrade Sanchez, P, Ward, R, Maloney, JD, Willis, C, Newcomb, M, Shakoor, N & LeBauer, D 2018, TERRA-REF data processing infrastructure. in Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018., a27, Association for Computing Machinery, 2018 Practice and Experience in Advanced Research Computing Conference: Seamless Creativity, PEARC 2018, Pittsburgh, United States, 7/22/17. https://doi.org/10.1145/3219104.3219152
Burnette M, Rohde GS, Fahlgren N, Sagan V, Sidike P, Kooper R et al. TERRA-REF data processing infrastructure. In Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018. Association for Computing Machinery. 2018. a27 https://doi.org/10.1145/3219104.3219152
Burnette, Maxwell ; Rohde, Gareth S. ; Fahlgren, Noah ; Sagan, Vasit ; Sidike, Paheding ; Kooper, Rob ; Terstriep, Jeffrey A. ; Mockler, Todd ; Andrade Sanchez, Pedro ; Ward, Rick ; Maloney, J. D. ; Willis, Craig ; Newcomb, Maria ; Shakoor, Nadia ; LeBauer, David. / TERRA-REF data processing infrastructure. Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018. Association for Computing Machinery, 2018.
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