FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming

Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Ginés García-Mateos, Gregorio Bernabé García, Félix J. García Clemente. FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming. Cluster Computing, 25(3):2163-2178, 2022. [doi]

@article{GomezLRGGC22,
  title = {FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming},
  author = {Ángel Luis Perales Gómez and Pedro E. López-de-Teruel and Alberto Ruiz and Ginés García-Mateos and Gregorio Bernabé García and Félix J. García Clemente},
  year = {2022},
  doi = {10.1007/s10586-021-03489-9},
  url = {https://doi.org/10.1007/s10586-021-03489-9},
  researchr = {https://researchr.org/publication/GomezLRGGC22},
  cites = {0},
  citedby = {0},
  journal = {Cluster Computing},
  volume = {25},
  number = {3},
  pages = {2163-2178},
}