Cite
Image‐based high‐throughput phenotyping for the estimation of persistence of perennial ryegrass (Lolium perenne L.)—A review.
MLA
Jayasinghe, Chinthaka, et al. “Image‐based High‐throughput Phenotyping for the Estimation of Persistence of Perennial Ryegrass (Lolium Perenne L.)—A Review.” Grass & Forage Science, vol. 76, no. 3, Sept. 2021, pp. 321–39. EBSCOhost, https://doi.org/10.1111/gfs.12520.
APA
Jayasinghe, C., Badenhorst, P., Jacobs, J., Spangenberg, G., & Smith, K. (2021). Image‐based high‐throughput phenotyping for the estimation of persistence of perennial ryegrass (Lolium perenne L.)—A review. Grass & Forage Science, 76(3), 321–339. https://doi.org/10.1111/gfs.12520
Chicago
Jayasinghe, Chinthaka, Pieter Badenhorst, Joe Jacobs, German Spangenberg, and Kevin Smith. 2021. “Image‐based High‐throughput Phenotyping for the Estimation of Persistence of Perennial Ryegrass (Lolium Perenne L.)—A Review.” Grass & Forage Science 76 (3): 321–39. doi:10.1111/gfs.12520.