CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices

Farshad Bolouri, Yildirim Kocoglu, Irish Lorraine B. Pabuayon, Glen Lorin Ritchie, Hamed Sari-Sarraf. CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices. Computers and Electronics in Agriculture, 216:108531, January 2024. [doi]

@article{BolouriKPRS24,
  title = {CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices},
  author = {Farshad Bolouri and Yildirim Kocoglu and Irish Lorraine B. Pabuayon and Glen Lorin Ritchie and Hamed Sari-Sarraf},
  year = {2024},
  month = {January},
  doi = {10.1016/j.compag.2023.108531},
  url = {https://doi.org/10.1016/j.compag.2023.108531},
  researchr = {https://researchr.org/publication/BolouriKPRS24},
  cites = {0},
  citedby = {0},
  journal = {Computers and Electronics in Agriculture},
  volume = {216},
  pages = {108531},
}