APA (7th ed.) Citation

Tian, T., Wang, J., Wang, H., Cui, J., Shi, X., Song, J., . . . Zhong, M. (2022). Synergistic use of spectral features of leaf nitrogen and physiological indices improves the estimation accuracy of nitrogen concentration in rapeseed. International Journal of Remote Sensing, 43(8), 2755. https://doi.org/10.1080/01431161.2022.2068359

Chicago Style (17th ed.) Citation

Tian, Tian, Jingang Wang, Haijiang Wang, Jing Cui, Xiaoyan Shi, Jianghui Song, Tiansheng Li, Weidi Li, and Mingtao Zhong. "Synergistic Use of Spectral Features of Leaf Nitrogen and Physiological Indices Improves the Estimation Accuracy of Nitrogen Concentration in Rapeseed." International Journal of Remote Sensing 43, no. 8 (2022): 2755. https://doi.org/10.1080/01431161.2022.2068359.

MLA (9th ed.) Citation

Tian, Tian, et al. "Synergistic Use of Spectral Features of Leaf Nitrogen and Physiological Indices Improves the Estimation Accuracy of Nitrogen Concentration in Rapeseed." International Journal of Remote Sensing, vol. 43, no. 8, 2022, p. 2755, https://doi.org/10.1080/01431161.2022.2068359.