Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features

Faisal Ahmed, Mohammad Naim Uddin Rahi, Raihan Uddin, Anik Sen, Mohammad Shahadat Hossain, Karl Andersson 0001. Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features. In M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray, editors, Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022, Tangail, Bangladesh, 18-19 December 2022. Volume 618 of Lecture Notes in Networks and Systems, pages 25-35, Springer, 2022. [doi]

@inproceedings{AhmedRUSH022,
  title = {Machine Learning-Based Tomato Leaf Disease Diagnosis Using Radiomics Features},
  author = {Faisal Ahmed and Mohammad Naim Uddin Rahi and Raihan Uddin and Anik Sen and Mohammad Shahadat Hossain and Karl Andersson 0001},
  year = {2022},
  doi = {10.1007/978-981-19-9483-8_3},
  url = {https://doi.org/10.1007/978-981-19-9483-8_3},
  researchr = {https://researchr.org/publication/AhmedRUSH022},
  cites = {0},
  citedby = {0},
  pages = {25-35},
  booktitle = {Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022, Tangail, Bangladesh, 18-19 December 2022},
  editor = {M. Shamim Kaiser and Sajjad Waheed and Anirban Bandyopadhyay and Mufti Mahmud and Kanad Ray},
  volume = {618},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-981-19-9483-8},
}