The purpose of this project was to increase the findability and reusability of agricultural data by creating an Agricultural Research Data Network (ARDN). Specifically, this was a cross-institutional collaborative effort to convert a set of pre-existing datasets to the AgMIP Crop Experiment (ACE) crop model format, including the TERRA-REF dataset, to enable these to be combined for crop modeling. Resulting datasets are published openly on the National Agricultural Library on USDA Ag Data Commons. We also included templates for converting from BrAPI and other formats to enable other future or similar datasets to be more easily converted into formats that can be used as inputs to crop models.
Because we are using the Breeder's API (BrAPI) version of the TERRA-REF dataset for this, we want to enable other BrAPI-compatible datasets to be convertible. In addition to publishing TERRA REF data and converters at the National Agricultural Library, we contributed to the design and implementation of a new events endpoint in the BrAPI v1.3 specification that provides a method for providing agronomic and experimental metadata alongside data from breeding trials.
Cheryl H. Porter, Chris Villalobos, Dean Holzworth, Roger Nelson, Jeffrey W. White, Ioannis N. Athanasiadis, Sander Janssen, Dominique Ripoche, Julien Cufi, Dirk Raes, Meng Zhang, Rob Knapen, Ritvik Sahajpal, Kenneth Boote, James W. Jones. Harmonization and translation of crop modeling data to ensure interoperability. Environmental Modelling & Software. 2014;62:495-508. DOI:10.1016/j.envsoft.2014.09.004
LeBauer, David et al. (2020), Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors, Dryad, Dataset, https://doi.org/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? arXiv eprint 2107.14072. https://arxiv.org/abs/2107.14072