APA   Click to copy
Bolouri, F., Kocoglu, Y., Pabuayon, I. L., Ritchie, G. L., & Sari-Sarraf, H. (2024). CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices. Computers and Electronics in Agriculture.

Chicago/Turabian   Click to copy
Bolouri, Farshad, Y. Kocoglu, I. L. Pabuayon, Glen L. Ritchie, and Hamed Sari-Sarraf. “CottonSense: A High-Throughput Field Phenotyping System for Cotton Fruit Segmentation and Enumeration on Edge Devices.” Computers and Electronics in Agriculture (2024).

MLA   Click to copy
Bolouri, Farshad, et al. “CottonSense: A High-Throughput Field Phenotyping System for Cotton Fruit Segmentation and Enumeration on Edge Devices.” Computers and Electronics in Agriculture, 2024.

@article{farshad2024a,
  title = {CottonSense: A high-throughput field phenotyping system for cotton fruit segmentation and enumeration on edge devices},
  year = {2024},
  journal = {Computers and Electronics in Agriculture},
  author = {Bolouri, Farshad and Kocoglu, Y. and Pabuayon, I. L. and Ritchie, Glen L. and Sari-Sarraf, Hamed}
}