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Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.

PloS one

Schunck D, Magistri F, Rosu RA, Cornelißen A, Chebrolu N, Paulus S, Léon J, Behnke S, Stachniss C, Kuhlmann H, Klingbeil L.
PMID: 34407122
PLoS One. 2021 Aug 18;16(8):e0256340. doi: 10.1371/journal.pone.0256340. eCollection 2021.

Understanding the growth and development of individual plants is of central importance in modern agriculture, crop breeding, and crop science. To this end, using 3D data for plant analysis has gained attention over the last years. High-resolution point clouds...

Cite
Schunck D, Magistri F, Rosu RA, et al. Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS One. 2021;16(8):e0256340doi: 10.1371/journal.pone.0256340.
Schunck, D., Magistri, F., Rosu, R. A., Cornelißen, A., Chebrolu, N., Paulus, S., Léon, J., Behnke, S., Stachniss, C., Kuhlmann, H., & Klingbeil, L. (2021). Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PloS one, 16(8), e0256340. https://doi.org/10.1371/journal.pone.0256340
Schunck, David, et al. "Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis." PloS one vol. 16,8 (2021): e0256340. doi: https://doi.org/10.1371/journal.pone.0256340
Schunck D, Magistri F, Rosu RA, Cornelißen A, Chebrolu N, Paulus S, Léon J, Behnke S, Stachniss C, Kuhlmann H, Klingbeil L. Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS One. 2021 Aug 18;16(8):e0256340. doi: 10.1371/journal.pone.0256340. eCollection 2021. PMID: 34407122; PMCID: PMC8372960.
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Impact of Scoring Single or Multiple Occlusal Lesions on Estimates of Diagnostic Accuracy of the Visual ICDAS-II System.

International journal of dentistry

Jablonski-Momeni A, Ricketts DN, Heinzel-Gutenbrunner M, Stoll R, Stachniss V, Pieper K.
PMID: 20339467
Int J Dent. 2009;2009:798283. doi: 10.1155/2009/798283. Epub 2010 Feb 09.

Carious lesions can occur at different sites on the occlusal surfaces of teeth and may differ in appearance and severity. This study aimed to evaluate how estimates of reproducibility and accuracy of ICDAS-II were affected when all lesions on...

Cite
Jablonski-Momeni A, Ricketts DN, Heinzel-Gutenbrunner M, et al. Impact of Scoring Single or Multiple Occlusal Lesions on Estimates of Diagnostic Accuracy of the Visual ICDAS-II System. Int J Dent. 2010;2009:798283doi: 10.1155/2009/798283.
Jablonski-Momeni, A., Ricketts, D. N., Heinzel-Gutenbrunner, M., Stoll, R., Stachniss, V., & Pieper, K. (2009). Impact of Scoring Single or Multiple Occlusal Lesions on Estimates of Diagnostic Accuracy of the Visual ICDAS-II System. International journal of dentistry, 2009798283. https://doi.org/10.1155/2009/798283
Jablonski-Momeni, Anahita, et al. "Impact of Scoring Single or Multiple Occlusal Lesions on Estimates of Diagnostic Accuracy of the Visual ICDAS-II System." International journal of dentistry vol. 2009 (2009): 798283. doi: https://doi.org/10.1155/2009/798283
Jablonski-Momeni A, Ricketts DN, Heinzel-Gutenbrunner M, Stoll R, Stachniss V, Pieper K. Impact of Scoring Single or Multiple Occlusal Lesions on Estimates of Diagnostic Accuracy of the Visual ICDAS-II System. Int J Dent. 2009;2009:798283. doi: 10.1155/2009/798283. Epub 2010 Feb 09. PMID: 20339467; PMCID: PMC2836852.
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Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.

PloS one

Schunck D, Magistri F, Rosu RA, Cornelißen A, Chebrolu N, Paulus S, Léon J, Behnke S, Stachniss C, Kuhlmann H, Klingbeil L.
PMID: 34407122
PLoS One. 2021 Aug 18;16(8):e0256340. doi: 10.1371/journal.pone.0256340. eCollection 2021.

Understanding the growth and development of individual plants is of central importance in modern agriculture, crop breeding, and crop science. To this end, using 3D data for plant analysis has gained attention over the last years. High-resolution point clouds...

Cite
Schunck D, Magistri F, Rosu RA, et al. Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS One. 2021;16(8):e0256340doi: 10.1371/journal.pone.0256340.
Schunck, D., Magistri, F., Rosu, R. A., Cornelißen, A., Chebrolu, N., Paulus, S., Léon, J., Behnke, S., Stachniss, C., Kuhlmann, H., & Klingbeil, L. (2021). Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PloS one, 16(8), e0256340. https://doi.org/10.1371/journal.pone.0256340
Schunck, David, et al. "Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis." PloS one vol. 16,8 (2021): e0256340. doi: https://doi.org/10.1371/journal.pone.0256340
Schunck D, Magistri F, Rosu RA, Cornelißen A, Chebrolu N, Paulus S, Léon J, Behnke S, Stachniss C, Kuhlmann H, Klingbeil L. Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis. PLoS One. 2021 Aug 18;16(8):e0256340. doi: 10.1371/journal.pone.0256340. eCollection 2021. PMID: 34407122; PMCID: PMC8372960.
Copy Download .nbib Format: NLM
Showing 1 to 3 of 3 entries