Data of Recognition of Apple Fruit at Maturity Based on Neural Radiation Field and PointNet++

It includes NeRF data set collected by this research for establishing three-dimensional point cloud model of fruit trees, Pointnet ++ code for semantic segmentation and identification of apple point cloud in fruit tree point cloud, and self-made Pointnet ++ data set

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-20
DOI
https://doi.org/10.5281/zenodo.13348525
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
0.00
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article

Data of Recognition of Apple Fruit at Maturity Based on Neural Radiation Field and PointNet++

Zenodo (CERN European Organization for Nuclear Research)
Subterranean biodiversity and taxonomy
article

Data of Recognition of Apple Fruit at Maturity Based on Neural Radiation Field and PointNet++

article en

Abstract

It includes NeRF data set collected by this research for establishing three-dimensional point cloud model of fruit trees, Pointnet ++ code for semantic segmentation and identification of apple point cloud in fruit tree point cloud, and self-made Pointnet ++ data set

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Subterranean biodiversity and taxonomy
DOIOpen Access PDFOpenAlex
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Data of Recognition of Apple Fruit at Maturity Based on Neural Radiation Field and PointNet++ · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS