Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery

Samiul Haque, Edgar Lobaton, Natalie Nelson, G. Craig Yencho, Kenneth V. Pecota, Russell Mierop, Michael W. Kudenov, Mike Boyette, Cranos M. Williams. Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. Computers and Electronics in Agriculture, 182:106011, 2021. [doi]

@article{HaqueLNYPMKBW21,
  title = {Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery},
  author = {Samiul Haque and Edgar Lobaton and Natalie Nelson and G. Craig Yencho and Kenneth V. Pecota and Russell Mierop and Michael W. Kudenov and Mike Boyette and Cranos M. Williams},
  year = {2021},
  doi = {10.1016/j.compag.2021.106011},
  url = {https://doi.org/10.1016/j.compag.2021.106011},
  researchr = {https://researchr.org/publication/HaqueLNYPMKBW21},
  cites = {0},
  citedby = {0},
  journal = {Computers and Electronics in Agriculture},
  volume = {182},
  pages = {106011},
}