Guo, Z., Yang, C., Yang, W., Chen, G., Jiang, Z., Wang, B., & Zhang, J. (2022). Panicle Ratio Network: Streamlining rice panicle measurement by deep learning with ultra-high-definition aerial images in the field. Journal of experimental botany, 73(19), 6575. https://doi.org/10.1093/jxb/erac294
Style de citation ChicagoGuo, Ziyue, Chenghai Yang, Wangnen Yang, Guoxing Chen, Zhao Jiang, Botao Wang, et Jian Zhang. "Panicle Ratio Network: Streamlining Rice Panicle Measurement by Deep Learning with Ultra-high-definition Aerial Images in the Field." Journal of Experimental Botany 73, no. 19 (2022): 6575. https://dx.doi.org/10.1093/jxb/erac294.
Style de citation MLAGuo, Ziyue, et al. "Panicle Ratio Network: Streamlining Rice Panicle Measurement by Deep Learning with Ultra-high-definition Aerial Images in the Field." Journal of Experimental Botany, vol. 73, no. 19, 2022, p. 6575.