Spatial experiment identification (SPEX-ID): a method to identify experimental conditions from spatial information in digital agricultural data and beyond

Taylor Aune, Huan Gu, Dagmawi Woldensenbet, Tuyen Le, Jeffery Sauer. Spatial experiment identification (SPEX-ID): a method to identify experimental conditions from spatial information in digital agricultural data and beyond. In Jinmeng Rao, Song Gao 0001, Heba Aly, Emre Eftelioglu, Yan Li 0049, Yiqun Xie, editors, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023. pages 1-7, ACM, 2023. [doi]

@inproceedings{AuneGWLS23,
  title = {Spatial experiment identification (SPEX-ID): a method to identify experimental conditions from spatial information in digital agricultural data and beyond},
  author = {Taylor Aune and Huan Gu and Dagmawi Woldensenbet and Tuyen Le and Jeffery Sauer},
  year = {2023},
  doi = {10.1145/3615888.3627809},
  url = {https://doi.org/10.1145/3615888.3627809},
  researchr = {https://researchr.org/publication/AuneGWLS23},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023},
  editor = {Jinmeng Rao and Song Gao 0001 and Heba Aly and Emre Eftelioglu and Yan Li 0049 and Yiqun Xie},
  publisher = {ACM},
}