Evidence map›Paper›PMID 40880865›Full record

ArticleFrontiers in plant science2025

Harnessing smartphone RGB imagery and LiDAR point cloud for enhanced leaf nitrogen and shoot biomass assessment - Chinese spinach as a case study.

Aravind Harikumar, Itamar Shenhar, Miguel R Pebes-Trujillo, Lin Qin, Menachem Moshelion, Jie He, Kee Woei Ng, Matan Gavish, Ittai Herrmann

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 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

9 authors.

Aravind HarikumarSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Itamar ShenharSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Miguel R Pebes-TrujilloSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Lin QinNational Institute of Education, Nanyang Technological University, Singapore, Singapore.
Menachem MoshelionSingapore-HUJ Alliance for Research and Enterprise (SHARE), Singapore, Singapore.
Jie HeSingapore-HUJ Alliance for Research and Enterprise (SHARE), Singapore, Singapore.
Kee Woei NgSchool of Materials Science and Engineering, Nanyang Technological University, Singapore, Singapore.
Matan GavishSingapore-HUJ Alliance for Research and Enterprise (SHARE), Singapore, Singapore.
Ittai HerrmannSingapore-HUJ Alliance for Research and Enterprise (SHARE), Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estimation of leaf nitrogen concentration and shoot dry-weight biomass in leafy vegetables is crucial for crop yield management, stress assessment, and nutrient optimization in precision agriculture. However, obtaining this information often requires access to reliable plant physiological and biophysical data, which typically involves sophisticated equipment, such as high-resolution

Indexed as

biomass estimationcrop parameter modellinglidarsmart farmingsmartphone

Identifiers

PMID40880865
PMCPMC12382392

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.