Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks.

MLA

Drees, Lukas, et al. “Data-Driven Crop Growth Simulation on Time-Varying Generated Images Using Multi-Conditional Generative Adversarial Networks.” Plant Methods, vol. 20, no. 1, June 2024, pp. 1–28. EBSCOhost, https://doi.org/10.1186/s13007-024-01205-3.

APA

Drees, L., Demie, D. T., Paul, M. R., Leonhardt, J., Seidel, S. J., Döring, T. F., & Roscher, R. (2024). Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks. Plant Methods, 20(1), 1–28. https://doi.org/10.1186/s13007-024-01205-3

Chicago

Drees, Lukas, Dereje T. Demie, Madhuri R. Paul, Johannes Leonhardt, Sabine J. Seidel, Thomas F. Döring, and Ribana Roscher. 2024. “Data-Driven Crop Growth Simulation on Time-Varying Generated Images Using Multi-Conditional Generative Adversarial Networks.” Plant Methods 20 (1): 1–28. doi:10.1186/s13007-024-01205-3.