@inproceedings{ahuja:hal-04381303,
  TITLE = {{Disease Identification in~Tomato Leaf Using Pre-trained ResNet and~Deformable Inception}},
  AUTHOR = {Ahuja, Arnav and Tulsyan, Aditya and Ranjani, J. Jennifer},
  URL = {https://inria.hal.science/hal-04381303},
  BOOKTITLE = {{5th International Conference on Computational Intelligence in Data Science (ICCIDS)}},
  ADDRESS = {Virtual, India},
  EDITOR = {Lekshmi Kalinathan and Priyadharsini R. and Madheswari Kanmani and Manisha S.},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Computational Intelligence in Data Science},
  VOLUME = {AICT-654},
  PAGES = {221-234},
  YEAR = {2022},
  MONTH = Mar,
  DOI = {10.1007/978-3-031-16364-7\_17},
  KEYWORDS = {Crop disease detection and classification ; Tomato leaf ; Deep learning ; Convolutional neural network ; Residual network ; ResNet ; Deformable convolution},
  PDF = {https://inria.hal.science/hal-04381303/file/526570_1_En_17_Chapter.pdf},
  HAL_ID = {hal-04381303},
  HAL_VERSION = {v1},
}