APA (7th ed.) Citation

Zhao, Z., Feng, W., Xiao, J., Liu, X., Pan, S., & Liang, Z. (2022). Rapid and Accurate Prediction of Soil Texture Using an Image-Based Deep Learning Autoencoder Convolutional Neural Network Random Forest (DLAC-CNN-RF) Algorithm. Agronomy (Basel), 12(12), 3063. https://doi.org/10.3390/agronomy12123063

Chicago Style (17th ed.) Citation

Zhao, Zhuan, Wenkang Feng, Jinrui Xiao, Xiaochu Liu, Shusheng Pan, and Zhongwei Liang. "Rapid and Accurate Prediction of Soil Texture Using an Image-Based Deep Learning Autoencoder Convolutional Neural Network Random Forest (DLAC-CNN-RF) Algorithm." Agronomy (Basel) 12, no. 12 (2022): 3063. https://doi.org/10.3390/agronomy12123063.

MLA (9th ed.) Citation

Zhao, Zhuan, et al. "Rapid and Accurate Prediction of Soil Texture Using an Image-Based Deep Learning Autoencoder Convolutional Neural Network Random Forest (DLAC-CNN-RF) Algorithm." Agronomy (Basel), vol. 12, no. 12, 2022, p. 3063, https://doi.org/10.3390/agronomy12123063.