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Article

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

PloS one - 1 Jan 2021

Schunck David, Magistri Federico, Rosu Radu Alexandru, Cornelißen André, Chebrolu Nived, Paulus Stefan, Léon Jens, Behnke Sven, Stachniss Cyrill, Kuhlmann Heiner, Klingbeil Lasse

Abstract excerpt

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 of plant traits, such as plant height, biomass, as well as the number and size of relevant plant organs....

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 34407122
DOI: 10.1371/journal.pone.0256340
PMCID: PMC8372960

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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