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

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 offer the potential to derive a variety...

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Detalles Bibliográficos
Autores principales: Schunck, David, Magistri, Federico, Rosu, Radu Alexandru, Cornelißen, André, Chebrolu, Nived, Paulus, Stefan, Léon, Jens, Behnke, Sven, Stachniss, Cyrill, Kuhlmann, Heiner, Klingbeil, Lasse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372960/
https://www.ncbi.nlm.nih.gov/pubmed/34407122
http://dx.doi.org/10.1371/journal.pone.0256340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372960/
https://www.ncbi.nlm.nih.gov/pubmed/34407122
http://dx.doi.org/10.1371/journal.pone.0256340

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