TURGUT, K. Et Al. 2023. Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise. North American Plant Phenotyping Network Annual Conference , (St. Louis, Missouri, United States Of America).

TURGUT, K., DUTAĞACI, H., & Rousseau, D., (2023). Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise . North American Plant Phenotyping Network Annual Conference, St. Louis, Missouri, United States Of America

TURGUT, KAYA, HELİN DUTAĞACI, And David Rousseau. "Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise," North American Plant Phenotyping Network Annual Conference, St. Louis, Missouri, United States Of America, 2023

TURGUT, KAYA Et Al. "Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise." North American Plant Phenotyping Network Annual Conference , St. Louis, Missouri, United States Of America, 2023

TURGUT, K. DUTAĞACI, H. And Rousseau, D. (2023) . "Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise." North American Plant Phenotyping Network Annual Conference , St. Louis, Missouri, United States Of America.

@conferencepaper{conferencepaper, author={KAYA TURGUT Et Al. }, title={Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise}, congress name={North American Plant Phenotyping Network Annual Conference}, city={St. Louis, Missouri}, country={United States Of America}, year={2023}}