Keret, R., Schliephack, P. M., Stangler, D. F., Seifert, T., Kahle, H., Drew, D. M., & Hills, P. N. (2024). An open-source machine-learning approach for obtaining high-quality quantitative wood anatomy data from E. grandis and P. radiata xylem. Plant science : an international journal of experimental plant biology, 340, 111970. https://doi.org/10.1016/j.plantsci.2023.111970
Style de citation ChicagoKeret, Rafael, Paul M. Schliephack, Dominik F. Stangler, Thomas Seifert, Hans-Peter Kahle, David M. Drew, et Paul N. Hills. "An Open-source Machine-learning Approach for Obtaining High-quality Quantitative Wood Anatomy Data from E. Grandis and P. Radiata Xylem." Plant Science : An International Journal of Experimental Plant Biology 340 (2024): 111970. https://dx.doi.org/10.1016/j.plantsci.2023.111970.
Style de citation MLAKeret, Rafael, et al. "An Open-source Machine-learning Approach for Obtaining High-quality Quantitative Wood Anatomy Data from E. Grandis and P. Radiata Xylem." Plant Science : An International Journal of Experimental Plant Biology, vol. 340, 2024, p. 111970.