Evidence map›Paper›PMID 42041015›Full record

ArticlePlant phenomics (Washington, D.C.)2025

3DPotatoTwin: a paired potato tuber dataset for 3D multi-sensory fusion.

Haozhou Wang, Pieter M Blok, James Burridge, Ting Jiang, Minato Miyauchi, Kyosuke Miyamoto, Kunihiro Tanaka, Wei Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Haozhou WangGraduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1, Midori-cho, Nishi-Tokyo, Tokyo, 188-0002, Japan.
Pieter M BlokGraduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1, Midori-cho, Nishi-Tokyo, Tokyo, 188-0002, Japan.
James BurridgeGraduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1, Midori-cho, Nishi-Tokyo, Tokyo, 188-0002, Japan.
Ting JiangGraduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1, Midori-cho, Nishi-Tokyo, Tokyo, 188-0002, Japan.
Minato MiyauchiTechnology Innovation R&D Dept.I, Kubota Corporation, 1-11, Takumi-cho, Sakai-ku, Sakai-shi, Osaka, 590-0908, Japan.
Kyosuke MiyamotoTechnology Innovation R&D Dept.I, Kubota Corporation, 1-11, Takumi-cho, Sakai-ku, Sakai-shi, Osaka, 590-0908, Japan.
Kunihiro TanakaTechnology Innovation R&D Dept.I, Kubota Corporation, 1-11, Takumi-cho, Sakai-ku, Sakai-shi, Osaka, 590-0908, Japan.
Wei GuoGraduate School of Agricultural and Life Sciences, University of Tokyo, 1-1-1, Midori-cho, Nishi-Tokyo, Tokyo, 188-0002, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate 3D phenotyping of agricultural produce remains challenging due to the trade-off between reconstruction quality and acquisition throughput in existing sensing technologies. While RGB-D cameras enable high-throughput scanning in operational settings like harvesting conveyors, they produce incomplete, low-quality 3D models. Conversely, close-range Structure-from-Motion (SfM) produces high-quality reconstructions but is not suitable for high-throughput field application. This study bridges this gap through

Indexed as

DatasetPoint cloud registrationRGB-D cameraSensor fusionStructure from motion

Identifiers

PMID42041015
PMCPMC13109331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.