Predicting Phenological Stages with Deep Neural Network Models to Increase Efficiency in Tomato Production

Fatma Azizoglu, Gökhan Azizoglu, Ahmet Nusret Toprak, Cevdet Saglam. Predicting Phenological Stages with Deep Neural Network Models to Increase Efficiency in Tomato Production. In 32nd Signal Processing and Communications Applications Conference, SIU 2024, Mersin, Turkiye, May 15-18, 2024. pages 1-4, IEEE, 2024. [doi]

@inproceedings{AzizogluATS24,
  title = {Predicting Phenological Stages with Deep Neural Network Models to Increase Efficiency in Tomato Production},
  author = {Fatma Azizoglu and Gökhan Azizoglu and Ahmet Nusret Toprak and Cevdet Saglam},
  year = {2024},
  doi = {10.1109/SIU61531.2024.10600745},
  url = {https://doi.org/10.1109/SIU61531.2024.10600745},
  researchr = {https://researchr.org/publication/AzizogluATS24},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {32nd Signal Processing and Communications Applications Conference, SIU 2024, Mersin, Turkiye, May 15-18, 2024},
  publisher = {IEEE},
  isbn = {979-8-3503-8896-1},
}