Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models (bibtex)

by Francisco José Lacueva, Sergio Ilarri, Juan José Barriuso-Vargas, Joaquín Balduque, Gorka Labata-Lezaun and Rafael del Hoyo Alonso

Reference:

Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models (Francisco José Lacueva, Sergio Ilarri, Juan José Barriuso-Vargas, Joaquín Balduque, Gorka Labata-Lezaun and Rafael del Hoyo Alonso), In 24th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2022), Springer, ISSN 0302-9743, ISSN 1611-3349 (electronic), Print ISBN 978-3-031-12669-7, Online ISBN 978-3-031-12670-3, volume 13428, 2022.

Bibtex Entry:

@inproceedings{dawak2022,
  author = {Francisco Jos\'{e} Lacueva and Sergio Ilarri and Juan Jos\'{e} Barriuso-Vargas and Joaqu\'{\i}n Balduque and Gorka Labata-Lezaun and Rafael del Hoyo Alonso},
  booktitle = {24th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2022)},
  month = {August},
  pages = {263--269},
  series = {Lecture Notes in Computer Science (LNCS)},
  publisher = {Springer, ISSN 0302-9743, ISSN 1611-3349 (electronic), Print ISBN 978-3-031-12669-7, Online ISBN 978-3-031-12670-3},
  volume = {13428},
  title = {Grapevine Phenology Prediction: A Comparison of Physical and Machine Learning Models},
  year = {2022},
  doi  = {10.1007/978-3-031-12670-3_24},
  project = {tin2020},
  projectTasks = {T4.d Agriculture},
  group = {cosmos},
  keywords = {PubInInternationalConference},
}