APA (7th ed.) Citation

Ramoelo, A., Skidmore, A., Cho, M., Mathieu, R., Heitkönig, I., Dudeni-Tlhone, N., . . . Prins, H. (2013). Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data. ISPRS journal of photogrammetry and remote sensing, 82, 27-40. https://doi.org/10.1016/j.isprsjprs.2013.04.012

Chicago Style (17th ed.) Citation

Ramoelo, A., A.K Skidmore, M.A Cho, R. Mathieu, I.M.A Heitkönig, N. Dudeni-Tlhone, M. Schlerf, and H.H.T Prins. "Non-linear Partial Least Square Regression Increases the Estimation Accuracy of Grass Nitrogen and Phosphorus Using in Situ Hyperspectral and Environmental Data." ISPRS Journal of Photogrammetry and Remote Sensing 82 (2013): 27-40. https://doi.org/10.1016/j.isprsjprs.2013.04.012.

MLA (9th ed.) Citation

Ramoelo, A., et al. "Non-linear Partial Least Square Regression Increases the Estimation Accuracy of Grass Nitrogen and Phosphorus Using in Situ Hyperspectral and Environmental Data." ISPRS Journal of Photogrammetry and Remote Sensing, vol. 82, 2013, pp. 27-40, https://doi.org/10.1016/j.isprsjprs.2013.04.012.