Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images

Ignazio Gallo, Mirco Boschetti, Anwar Ur Rehman, Gabriele Candiani. Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. Remote Sensing, 15(19):4765, October 2023. [doi]

@article{GalloBRC23,
  title = {Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images},
  author = {Ignazio Gallo and Mirco Boschetti and Anwar Ur Rehman and Gabriele Candiani},
  year = {2023},
  month = {October},
  doi = {10.3390/rs15194765},
  url = {https://doi.org/10.3390/rs15194765},
  researchr = {https://researchr.org/publication/GalloBRC23},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {15},
  number = {19},
  pages = {4765},
}