Cite
Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
MLA
Zhou, Naihui, et al. “Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning.” PLoS Computational Biology, vol. 14, no. 7, July 2018, pp. 1–16. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1006337.
APA
Zhou, N., Siegel, Z. D., Zarecor, S., Lee, N., Campbell, D. A., Andorf, C. M., Nettleton, D., Lawrence-Dill, C. J., Ganapathysubramanian, B., Kelly, J. W., & Friedberg, I. (2018). Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning. PLoS Computational Biology, 14(7), 1–16. https://doi.org/10.1371/journal.pcbi.1006337
Chicago
Zhou, Naihui, Zachary D. Siegel, Scott Zarecor, Nigel Lee, Darwin A. Campbell, Carson M. Andorf, Dan Nettleton, et al. 2018. “Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning.” PLoS Computational Biology 14 (7): 1–16. doi:10.1371/journal.pcbi.1006337.