output
20132025
most citedSegmentation of structural parts of rosebush plants with 3D point-based deep learning methods

64 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CV2020★ 1 cited

Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds

Mouad Zine-El-Abidine, Helin Dutagaci, Gilles Galopin +1

We propose a 3D color point cloud processing pipeline to count apples on individual apple trees in trellis structured orchards. Fruit counting at the tree level requires separating…

cs.CV2020★ 64 cited

Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods

Kaya Turgut, Helin Dutagaci, Gilles Galopin +1

Segmentation of structural parts of 3D models of plants is an important step for plant phenotyping, especially for monitoring architectural and morphological traits. Current state-…