APA (7th ed.) Citation

Danner, M., Berger, K., Wocher, M., Mauser, W., & Hank, T. (2021). Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops. ISPRS journal of photogrammetry and remote sensing, 173, 278-296. https://doi.org/10.1016/j.isprsjprs.2021.01.017

Chicago Style (17th ed.) Citation

Danner, Martin, Katja Berger, Matthias Wocher, Wolfram Mauser, and Tobias Hank. "Efficient RTM-based Training of Machine Learning Regression Algorithms to Quantify Biophysical & Biochemical Traits of Agricultural Crops." ISPRS Journal of Photogrammetry and Remote Sensing 173 (2021): 278-296. https://doi.org/10.1016/j.isprsjprs.2021.01.017.

MLA (9th ed.) Citation

Danner, Martin, et al. "Efficient RTM-based Training of Machine Learning Regression Algorithms to Quantify Biophysical & Biochemical Traits of Agricultural Crops." ISPRS Journal of Photogrammetry and Remote Sensing, vol. 173, 2021, pp. 278-296, https://doi.org/10.1016/j.isprsjprs.2021.01.017.