A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning

Keling Tu, Shaozhe Wen, Ying Cheng, Tingting Zhang, Tong Pan, Jie Wang, Jianhua Wang, Qun Sun. A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning. Computers and Electronics in Agriculture, 182:106002, 2021. [doi]

@article{TuWCZPWWS21,
  title = {A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968′ using machine vision combined with deep learning},
  author = {Keling Tu and Shaozhe Wen and Ying Cheng and Tingting Zhang and Tong Pan and Jie Wang and Jianhua Wang and Qun Sun},
  year = {2021},
  doi = {10.1016/j.compag.2021.106002},
  url = {https://doi.org/10.1016/j.compag.2021.106002},
  researchr = {https://researchr.org/publication/TuWCZPWWS21},
  cites = {0},
  citedby = {0},
  journal = {Computers and Electronics in Agriculture},
  volume = {182},
  pages = {106002},
}