An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data

Soumyashree Kar, Vikram Kumar Purbey, Saurabh Suradhaniwar, Lijalem Balcha Korbu, Jana Kholová, Surya S. Durbha, J. Adinarayana, Vincent Vadez. An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Computers and Electronics in Agriculture, 182:105992, 2021. [doi]

@article{KarPSKKDAV21,
  title = {An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data},
  author = {Soumyashree Kar and Vikram Kumar Purbey and Saurabh Suradhaniwar and Lijalem Balcha Korbu and Jana Kholová and Surya S. Durbha and J. Adinarayana and Vincent Vadez},
  year = {2021},
  doi = {10.1016/j.compag.2021.105992},
  url = {https://doi.org/10.1016/j.compag.2021.105992},
  researchr = {https://researchr.org/publication/KarPSKKDAV21},
  cites = {0},
  citedby = {0},
  journal = {Computers and Electronics in Agriculture},
  volume = {182},
  pages = {105992},
}