C, C., SA, B., E, R., O, P., E, D., X, W., . . . B, H. (2024). Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. Frontiers in plant science, 15, 1398903. https://doi.org/10.3389/fpls.2024.1398903
Chicago Style (17th ed.) CitationC, Chen, Bhuiyan SA, Ross E, Powell O, Dinglasan E, Wei X, Atkin F, Deomano E, and Hayes B. "Genomic Prediction for Sugarcane Diseases Including Hybrid Bayesian-machine Learning Approaches." Frontiers in Plant Science 15 (2024): 1398903. https://doi.org/10.3389/fpls.2024.1398903.
MLA (9th ed.) CitationC, Chen, et al. "Genomic Prediction for Sugarcane Diseases Including Hybrid Bayesian-machine Learning Approaches." Frontiers in Plant Science, vol. 15, 2024, p. 1398903, https://doi.org/10.3389/fpls.2024.1398903.