CST, a freeware for predicting crop yield from remote sensing or crop model indicators: Illustration with RSA and Ethiopia

Hervé Kerdiles, Felix Rembold, O. Leo, Hendrik Boogaard, S. Hoek. CST, a freeware for predicting crop yield from remote sensing or crop model indicators: Illustration with RSA and Ethiopia. In 2017 6th International Conference on Agro-Geoinformatics, Fairfax, VA, USA, August 7-10, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{KerdilesRLBH17,
  title = {CST, a freeware for predicting crop yield from remote sensing or crop model indicators: Illustration with RSA and Ethiopia},
  author = {Hervé Kerdiles and Felix Rembold and O. Leo and Hendrik Boogaard and S. Hoek},
  year = {2017},
  doi = {10.1109/Agro-Geoinformatics.2017.8047071},
  url = {https://doi.org/10.1109/Agro-Geoinformatics.2017.8047071},
  researchr = {https://researchr.org/publication/KerdilesRLBH17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2017 6th International Conference on Agro-Geoinformatics, Fairfax, VA, USA, August 7-10, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-3884-2},
}