APA (7th ed.) Citation

Kong, W., Huang, W., Ma, L., Li, C., Tang, L., Guo, J., . . . Casa, R. (2022). Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data. Frontiers in plant science, 13, 866301. https://doi.org/10.3389/fpls.2022.866301

Chicago Style (17th ed.) Citation

Kong, Weiping, Wenjiang Huang, Lingling Ma, Chuanrong Li, Lingli Tang, Jiawei Guo, Xianfeng Zhou, and Raffaele Casa. "Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data." Frontiers in Plant Science 13 (2022): 866301. https://doi.org/10.3389/fpls.2022.866301.

MLA (9th ed.) Citation

Kong, Weiping, et al. "Biangular-Combined Vegetation Indices to Improve the Estimation of Canopy Chlorophyll Content in Wheat Using Multi-Angle Experimental and Simulated Spectral Data." Frontiers in Plant Science, vol. 13, 2022, p. 866301, https://doi.org/10.3389/fpls.2022.866301.