APA (7th ed.) Citation

Kurnia, K. A., Lin, Y., Farhan, A., Malhotra, N., Luong, C. T., Hung, C., . . . Hsiao, C. (2023). Deep Learning-Based Automatic Duckweed Counting Using StarDist and Its Application on Measuring Growth Inhibition Potential of Rare Earth Elements as Contaminants of Emerging Concerns. Toxics (Basel), 11(8), 680. https://doi.org/10.3390/toxics11080680

Chicago Style (17th ed.) Citation

Kurnia, Kevin Adi, et al. "Deep Learning-Based Automatic Duckweed Counting Using StarDist and Its Application on Measuring Growth Inhibition Potential of Rare Earth Elements as Contaminants of Emerging Concerns." Toxics (Basel) 11, no. 8 (2023): 680. https://doi.org/10.3390/toxics11080680.

MLA (9th ed.) Citation

Kurnia, Kevin Adi, et al. "Deep Learning-Based Automatic Duckweed Counting Using StarDist and Its Application on Measuring Growth Inhibition Potential of Rare Earth Elements as Contaminants of Emerging Concerns." Toxics (Basel), vol. 11, no. 8, 2023, p. 680, https://doi.org/10.3390/toxics11080680.