Collaborators
Data Science Team
The overall purpose of this project is to improve breeding of plant crops by using modern remote sensing and high throughput phenotyping methods to gather important information about plant traits. We collect high resolution phenomic data and make these publicly available, which can be combined with weather and genomic data to produce insights about plant structure and function. We also aim to provide the tools and training needed to effectively leverage TERRA REF data.
Outputs
Publications
- Burnette M, Kooper R, Maloney JD, Rohde GS, Terstriep JA, Willis C, Fahlgren N, Mockler T, Newcomb M, Sagan V, Andrade-Sanchez P. TERRA-REF data processing infrastructure. InProceedings of the Practice and Experience on Advanced Research Computing 2018 Jul 22 (p. 27). DOI:10.1145/3219104.3219152. (pdf)
- LeBauer, David et al. (2020), Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors, Dryad, Dataset, DOI:10.5061/dryad.4b8gtht99
- LeBauer, D., Burnette, M., Fahlgren, N., Kooper, R., McHenry, K., & Stylianou, A. (2021). What Does TERRA-REF's High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community? ICCV 2021 7th workshop on Computer Vision in Plant Phenotyping and Agriculture. DOI:arXiv:2107.14072.
- More on the TERRA-REF publications page