APA (7th ed.) Citation

Zhai, Q., Ye, C., Li, S., Liu, J., Guo, Z., Chang, R., & Hua, J. (2022). Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status. PloS one, 17(11), e0273360. https://doi.org/10.1371/journal.pone.0273360

Chicago Style (17th ed.) Citation

Zhai, Qiang, Chun Ye, Shuang Li, Jizhong Liu, Zhiming Guo, Ruzhi Chang, and Jing Hua. "Rice Nitrogen Nutrition Monitoring Classification Method Based on the Convolution Neural Network Model: Direct Detection of Rice Nitrogen Nutritional Status." PloS One 17, no. 11 (2022): e0273360. https://doi.org/10.1371/journal.pone.0273360.

MLA (9th ed.) Citation

Zhai, Qiang, et al. "Rice Nitrogen Nutrition Monitoring Classification Method Based on the Convolution Neural Network Model: Direct Detection of Rice Nitrogen Nutritional Status." PloS One, vol. 17, no. 11, 2022, p. e0273360, https://doi.org/10.1371/journal.pone.0273360.