Evidence map›Paper›PMID 40109501›Full record

ArticlePlant direct2025

Toward an Automated System for Nondestructive Estimation of Plant Biomass.

Randall Kliman, Yuankai Huang, Ye Zhao, Yongsheng Chen

Abstract read
In one paragraph

Article in Plant direct, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Randall KlimanSchool of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia USA.ORCID https://orcid.org/0009-0001-1579-024X
Yuankai HuangSchool of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USA.
Ye ZhaoSchool of Mechanical Engineering Georgia Institute of Technology Atlanta Georgia USA.
Yongsheng ChenSchool of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USA.ORCID https://orcid.org/0000-0002-9519-2302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and nondestructive estimation of plant biomass is crucial for optimizing plant productivity, but existing methods are often expensive and require complex experimental setups. To address this challenge, we developed an automated system for estimating plant root and shoot biomass over the plant's lifecycle in hydroponic systems. This system employs a robotic arm and turntable to capture 40 images at equidistant angles around a hydroponically grown lettuce plant. These images are then processed into silhouettes and used in voxel-based volumetric 3D reconstruction to produce detailed 3D models. We utilize a space carving method along with a raytracing-based optical correction technique to create high-accuracy reconstructions. Analysis of these models demonstrates that our system accurately reconstructs the plant root structure and provides precise measurements of root volume, which can be calibrated to indicate biomass.

Identifiers

PMID40109501
PMCPMC11920584

What OpenQuestion holds

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LicenceCC BY
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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.