Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture

Maria Arostegi, Diana Manjarres, Sonia Bilbao 0001, Javier Del Ser. Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021. Volume 1401 of Advances in Intelligent Systems and Computing, pages 525-535, Springer, 2021. [doi]

@inproceedings{ArostegiM0S21,
  title = {Machine Learning Based Soft Sensing Tool for the Prediction of Leaf Wetness Duration in Precision Agriculture},
  author = {Maria Arostegi and Diana Manjarres and Sonia Bilbao 0001 and Javier Del Ser},
  year = {2021},
  doi = {10.1007/978-3-030-87869-6_50},
  url = {https://doi.org/10.1007/978-3-030-87869-6_50},
  researchr = {https://researchr.org/publication/ArostegiM0S21},
  cites = {0},
  citedby = {0},
  pages = {525-535},
  booktitle = {16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021},
  editor = {Hugo Sanjurjo-González and Iker Pastor-López and Pablo García Bringas and Héctor Quintián and Emilio Corchado},
  volume = {1401},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-87869-6},
}