A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops

Krishna Chaitanya Gadepally, Sambandh Bhusan Dhal, Mahendra Bhandari, Juan Landivar, Stavros Kalafatis, Kevin J. Nowka. A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. In 57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023. pages 1-4, IEEE, 2023. [doi]

@inproceedings{GadepallyDBLKN23,
  title = {A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops},
  author = {Krishna Chaitanya Gadepally and Sambandh Bhusan Dhal and Mahendra Bhandari and Juan Landivar and Stavros Kalafatis and Kevin J. Nowka},
  year = {2023},
  doi = {10.1109/CISS56502.2023.10089748},
  url = {https://doi.org/10.1109/CISS56502.2023.10089748},
  researchr = {https://researchr.org/publication/GadepallyDBLKN23},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {57th Annual Conference on Information Sciences and Systems, CISS 2023, Baltimore, MD, USA, March 22-24, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-5181-9},
}