Sarzaeim, P., Muñoz-Arriola, F., & Jarquín, D. (2022). Climate and genetic data enhancement using deep learning analytics to improve maize yield predictability. Journal of experimental botany, 73(15), 5336. https://doi.org/10.1093/jxb/erac146
Style de citation ChicagoSarzaeim, Parisa, Francisco Muñoz-Arriola, et Diego Jarquín. "Climate and Genetic Data Enhancement Using Deep Learning Analytics to Improve Maize Yield Predictability." Journal of Experimental Botany 73, no. 15 (2022): 5336. https://dx.doi.org/10.1093/jxb/erac146.
Style de citation MLASarzaeim, Parisa, et al. "Climate and Genetic Data Enhancement Using Deep Learning Analytics to Improve Maize Yield Predictability." Journal of Experimental Botany, vol. 73, no. 15, 2022, p. 5336.
Attention : ces citations peuvent ne pas être correctes à 100%.