Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle

Luís Pádua, Nathalie Guimarães, Telmo Adão, Pedro Marques 0002, Emanuel Peres, António M. R. Sousa, Joaquim João Sousa. Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle. In Paulo Moura Oliveira, Paulo Novais, Luís Paulo Reis, editors, Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I. Volume 11804 of Lecture Notes in Computer Science, pages 248-257, Springer, 2019. [doi]

@inproceedings{PaduaGAMPSS19,
  title = {Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle},
  author = {Luís Pádua and Nathalie Guimarães and Telmo Adão and Pedro Marques 0002 and Emanuel Peres and António M. R. Sousa and Joaquim João Sousa},
  year = {2019},
  doi = {10.1007/978-3-030-30241-2_22},
  url = {https://doi.org/10.1007/978-3-030-30241-2_22},
  researchr = {https://researchr.org/publication/PaduaGAMPSS19},
  cites = {0},
  citedby = {0},
  pages = {248-257},
  booktitle = {Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I},
  editor = {Paulo Moura Oliveira and Paulo Novais and Luís Paulo Reis},
  volume = {11804},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-30241-2},
}