Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging

Fernando H. Oliveira Duarte, Levi Welington de Resende Filho, Héctor Azpúrua, André Almeida Santos, Jefferson R. Souza, Gustavo Pessin, Rosa Elvira Correa Pabon. Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging. In Lazaros Iliadis, John MacIntyre, Chrisina Jayne, Elias Pimenidis, editors, Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021. Volume 3 of pages 377-388, Springer, 2021. [doi]

@inproceedings{DuarteFASSPP21,
  title = {Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging},
  author = {Fernando H. Oliveira Duarte and Levi Welington de Resende Filho and Héctor Azpúrua and André Almeida Santos and Jefferson R. Souza and Gustavo Pessin and Rosa Elvira Correa Pabon},
  year = {2021},
  doi = {10.1007/978-3-030-80568-5_31},
  url = {https://doi.org/10.1007/978-3-030-80568-5_31},
  researchr = {https://researchr.org/publication/DuarteFASSPP21},
  cites = {0},
  citedby = {0},
  pages = {377-388},
  booktitle = {Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021},
  editor = {Lazaros Iliadis and John MacIntyre and Chrisina Jayne and Elias Pimenidis},
  volume = {3},
  publisher = {Springer},
  isbn = {978-3-030-80568-5},
}