A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder

Dipankar Mandal, Arpitam Chatterjee, Bipan Tudu. A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder. Concurrency - Practice and Experience, 34(1), 2022. [doi]

@article{MandalCT22,
  title = {A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder},
  author = {Dipankar Mandal and Arpitam Chatterjee and Bipan Tudu},
  year = {2022},
  doi = {10.1002/cpe.6500},
  url = {https://doi.org/10.1002/cpe.6500},
  researchr = {https://researchr.org/publication/MandalCT22},
  cites = {0},
  citedby = {0},
  journal = {Concurrency - Practice and Experience},
  volume = {34},
  number = {1},
}